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InWaterSense: An Intelligent Wireless Sensor Network for Monitoring Surface Water Quality to a River in Kosovo.

Ahmedi F., Ahmedi L., O'Flynn B., Kurti A., Tahirsylaj S., Bytyēi E., Sejdiu B., Salihu A.
Journal International Journal of Agricultural and Environmental Information Systems (IJAEIS), vol. 9, no. 1, pp. 39-61, 2018. doi: 10.4018/IJAEIS.2018010103.

Abstract

A shift in water monitoring approach from traditional grab sampling to novel wireless sensors is gaining in popularity not only among researchers but also in the market. These latest technologies readily enable numerous advantageous monitoring arrangements like remote, continuous, real-time, and spatially-dense and broad in coverage measurements, and identification of long-term trends of parameters of interest. Thus, a WSN system is implemented in a river in Kosovo as part of the INWATERSENSE project to monitor its water quality parameters. It is one of the first state of the art technology demonstration systems of its kind in the domain of water monitoring in developing countries like Kosovo. Water quality datasets are transmitted at pre-programmed intervals from sensing stations deployed in the river to the server at university via the GPRS network. Data is then made available through a portal to different target groups (policy-makers, water experts, and citizens). Moreover, the INWATERSENSE system behaves intelligently like staying in line with water quality regulatory standards.

The final publication is available at IGI Global Publishing via https://doi.org/10.4018/IJAEIS.2018010103

RDF Mapper: Easy Conversion of Relational Databases to RDF

Bytyēi E., Ahmedi L., Gashi G.
Conference Paper Proceedings of the 14th International Conference on Web Information Systems and Technologies (WEBIST 2018), Seville, Spain, September 18-20, 2018, SciTePress 2018, ISBN 978-989-758-324-7, pp. 161-165. doi: 10.5220/0006925501610165.

Abstract

Nowadays with the raised necessity to serve data through the Web in a rather Linked Data model similar to the way DBpedia extracts structural information from Wikipedia, it is becoming usual to require existing data provided as tables to get mapped into RDF. In this paper, a straightforward alternative to mapping of data from relational database model to RDF is introduced. The mapper has not yet reached its maturity but nevertheless, reduces greatly the amount of time needed for conversion. Furthermore, it allows the user to select parts that are needed for conversion, thus preventing from the unnecessary conversion.

ViziTo: A System for Recommending Touristic Points of Interest using Bimodal Social Network Analysis.

Ahmedi L., Rrmoku K., Shabani D.
Conference Paper The 25th ENTER2018 eTourism Conference (ENTER 2018), Jönköping, Sweden, 24-26 January, 2018.

Abstract

Recommending the adequate point of interest (POI) for a specific tourist visiting a new place/city, remains still a challenge for all recommender systems that today exist, consider-ing the metrics that each system takes into consideration. ViziTo is a system which recom-mends a touristic POI for a tourist, based on bimodal social network analysis (SNA) and its specific metrics. In this demo, a web portal is presented, in which a user after registering or signing in as a tourist, given his/her personal profile (i.e., age, gender, etc.) and touristic preferences for a certain type or category (like nature, archaeology etc.), via its recommender algorithms will recommend to tourists' certain POIs.

SEMDPA: A Semantic Web Crossroad Architecture for WSNs in the Internet of Things

Bytyēi E., Sejdiu B., Avdiu A., Ahmedi L.
Journal International Journal on Semantic Web and Information Systems (IJSWIS), vol. 13, no. 3, pp. 1-21, 2017. doi:10.4018/IJSWIS.2017070101.

Abstract

The Internet of Things (IoT) vision is to connect uniquely identifiable devices that surround us to the Internet, which is best described through ontologies. Thereby, new emerging technologies such as wireless sensor networks (WSN) are recognized as an essential enabling component of the IoT today. Hence, given the increasing interest to provide linked sensor data through the Web either following the Semantic Web Enablement (SWE) standard or the Linked Data approach, there is a need to also explore those data for potential hidden knowledge through data mining techniques utilized by a domain ontology. Following that rationale, a new lightweight IoT architecture SEMDPA has been developed. It supports linking sensors and other devices, as well as people via a single web by mean of a device-person-activity (DPA) crossroad ontology. The architecture is validated by mean of three rich-in-semantic services: contextual data mining over WSN, semantic WSN web enablement, and Linked WSN data. SEMDPA could be easily extensible to capture semantics of input sensor data from other domains as well.

The final publication is available at IGI Global Publishing via https://doi.org/10.4018/IJSWIS.2017070101

A Bimodal Social Network Analysis to Recommend Points of Interest to Turists

Ahmedi L., Rrmoku K., Sylejmani K., Shabani D.
Journal Social Network Analysis and Mining (SNAM), 2017, vol. 7, no. 14, Springer-Verlag. doi:10.1007/s13278-017-0431-8

Abstract

With the progressive role of computers and theirusers as actors in social networks, computations alikesocial network analysis (SNA) are gaining in attention. This work proposes an approach based on SNA, not alone on social networks as supported by existing approaches, to estimate the tourists' satisfaction with individual Points of Interest (POIs), and accordingly recommend those POIs or not to that tourist or its tour planning system. Moreover,instead of a common unimodal network, a bimodal tourist-reviewer network is modeled as suggested by the SNA literature given tourists and POI reviewers act as two distinct classes of entities with links between them representing their (dis)similarities. Both tourists and reviewers provide their personal attributes (like age), but reviewers then providing preferences for speci?c POIs, whereas tourists only preferences for certain types or categories of POIs (say archeology). Further, an algorithm for grouping into ''islands'' of most similar reviewers to a certain tourist given the strength of corresponding links in the bimodal network is developed. Additionally, a ranking algorithm based on in-degree or authority centrality is adopted to identify the highest ranked reviewers within the island and recommend their preferred POI s to a given tourist. If there are more than single POIs preferred per reviewer, and there remain more than requested POIs of the highly ranked reviewers to select among for recommendation, a similar centrality algorithm is applied over a reviewer-POI network with links representing a certain reviewer prefers that certain POI. The evaluation initially with an exemplary real-life experiment, and then extended to a massive online dataset from Foursquare, proves our approach as feasible inestimating the tourist's satisfaction with individual POIs. Moreover, it is already promising since incorporating location in?uence remains yet our future work and might further improve its performance.

The final publication is available at Springer via https://doi.org/10.1007/s13278-017-0431-8

C-SWRL: A Unique Semantic Web Framework for Reasoning Over Stream Data

Jajaga E., Ahmedi L.
Journal International Journal of Semantic Computing (ICSC), vol. 11, no. 3, pp. 391-410, 2017. doi: 10.1142/S1793351X17400165 (Invited Paper)

Abstract

The synergy of Data Stream Management Systems and Semantic Web applications has steered towards a new paradigm known as Stream Reasoning. The Semantic Web standards for knowledge base modeling and querying, namely RDF, OWL and SPARQL, has extensively been used by the Stream Reasoning community. However, the Semantic Web rule languages, such as SWRL and RIF, have never been used in stream data applications. Instead, di®erent non-Semantic Web rule systems have been approached. Since RIF is primarily intended for exchanging rules among systems, we focused on SWRL applications with stream data. This proves di±cult following the SWRL's open world semantics. To overcome SWRL's expressivity issues we propose an infrastructure extension, which will enable SWRL reasoning with stream data. Namely, a query processing system, such as C-SPARQL, was layered under SWRL to support closed-world and time-aware reasoning. Moreover, OWLAPI constructs were utilized to enable non-monotonicity, while SPARQL constructs were used to enable negation as failure. Water quality monitoring was used as a validation domain of the proposed system.

The final publication is available at World Scientifc Publishing via https://doi.org/10.1142/S1793351X17400165 © [copyright World Scientific Publishing Company] https://www.worldscientific.com/worldscinet/ijsc

Enrichment of Association Rules through Exploitation of Ontology Properties - Healthcare Case Study

Bytyēi E., Ahmedi L., Lisi F.
Conference Paper Procedia Computer Science, Elsevier. The 7th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2017), Lund, Sweden, 18-20 September, 2017. Vol. 113, pp. 360-367, 2017. doi:10.1016/j.procs.2017.08.345

Abstract

Association rule mining as descriptive data mining category aims to find interesting patterns on data. The quality of the patterns is measured with two metrics: confidence and support. Especially in fields dealing with sensitive data, such as healthcare, the resulting patterns should be novel and interesting. To achieve that, not only the quality of the data itself should be superior, but also other additional attributes added, do support the results. That should be achieved by using Semantic Web technologies and thus enriching data used with semantic relations between properties. A hypothesis suggests that especially tackling property relations, chain property being part of the current version of the W3C Web Ontology Language (OWL), will yield better rules. To validate the hypothesis, experiments were performed on raw data, then on an older version of OWL, which does not support the chain properties and finally on the current version of language involving chain properties. Results obtained suggest that the latter produces novel rules with strong confidence and support, not encountered in former two experiments.

Rethinking the Conventional Learning Paradigm towards MOOC Based Flipped Classroom Learning.

Dalipi F., Kurti A., Zdravkova K., Ahmedi L.
Conference Paper 2017 16th International Conference on Information Technology Based Higher Education and Training (ITHET 2017), Ohrid, Macedonia, July 2017, pp. 1-6. doi: 10.1109/ITHET.2017.8067791.

Abstract

The recent proliferation of Massive Open Online Courses (MOOCs) has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education. Integrating MOOCs in blended learning can be beneficial in different ways for both learners and instructors. In this position paper, we aim to provide a brief and comprehensive review about the challenges that higher education institutions in Macedonia and Kosovo face while coping with the new trends of flexible or blended learning. Moreover, after describing some real cases of MOOC based flipped classroom learning, we also provide some recommendations in order to enhance and enrich learning experience by employing innovative pedagogies.

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

C-SWRL: SWRL for Reasoning over Stream Data

Jajaga E., Ahmedi L.
Conference Paper 11th IEEE International Conference on Semantic Computing (ICSC 2017), San Diego, CA, USA, January 30 - February 1, 2017, pp. 395-400, 2017. doi:10.1109/ICSC.2017.64

Abstract

Semantic technologies have been extensively used for integrating stream data applications. However, using SWRL, which has become the de facto standard rule language in Semantic Web, has never been used in stream data applications. Its open world assumption and monotonic nature makes SWRL powerless for doing continuous inference over stream data. For example, using aggregate functions on a particular window of streams cannot be expressed in SWRL. C-SPARQL is a framework which supports continuous querying over data streams. We introduce here C-SWRL, a unified Semantic Web stream reasoning system that further supports continuous reasoning over stream data. C-SWRL utilizes C-SPARQL filtering and aggregation of RDF streams to enable closed-world and time-aware reasoning with SWRL rules. Moreover, the non-monotonic behavior is supported with the use of OWLAPI constructs. The system is presented by means of examples in water quality monitoring.

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

E-Shop - A Vertical Search Engine for Domain of Online Shopping

Abdurrahmani V., Ahmedi L., Rrmoku K.
Conference Paper Proceedings of the 13th International Conference on Web Information Systems and Technologies (Webist 2017), Porto, Portugal, April 25-27, 2017, ISBN 978-989-758-246-2, pages 376-381. DOI: 10.5220/0006366303760381

Abstract

Along with general search engines which search the entire web, vertical search engines that are rather focused on specific domains of search have also gained in popularity in web search. In our case we are focused on domain of online shopping. We treat main processes of search engines which include crawling, indexing and query processing. Each process is developed based on general search engines and adapted to tackle the problems of the specified domain. Specifically, a search result ranking algorithm called Warehouse, which may be adapted to rank results of any specific domain, is introduced.

Search Engine Query Recommendation - Using SNA over Query Logs with User Profiles

Ahmedi L., Shabani D.
Conference Paper Proceedings of the 13th International Conference on Web Information Systems and Technologies (Webist 2017), Porto, Portugal, April 25-27, 2017, ISBN 978-989-758-246-2, pages 370-375. DOI: 10.5220/0006363803700375

Abstract

Recommending the adequate query in search engine for a specific user on the web is still a challenge even for recommender systems today with social networks incorporated. In this paper we present a query recommender that in addition to relying on similarity of the actual query posted by current user to queries in a query log in search engine, it also bases on social network analysis (SNA) to first find most similar users to the current user based on their profiles, and then recommend their most similar queries to current user. Calculation of the similarity of users follows an existing approach for Points of Interest (POIs) recommendation, which applies certain SNA ranking algorithms over concurrent users based on their social profiles in the login session.

StreamJess: A Stream Reasoning Framework for Water Quality Monitoring

Jajaga E., Ahmedi L, Ahmedi F.
Journal Intl. Journal of Metadata, Semantics and Ontologies (IJMSO), vol. 11, no. 4, pp. 207-220, 2016, doi:10.1504/IJMSO.2016.10004248

Abstract

Stream data knowledge bases modelled with OWL are a proved natural approach. But, querying and reasoning over these knowledge bases is not supported with standard Semantic Web technologies like SPARQL and SWRL. Query processing systems enable querying, but to the best of our knowledge, Semantic Web rules are still unable to handle the required reasoning features for effective inference over stream data, i.e. non-monotonic, closed-world and time-aware reasoning. In absence of such a system, we showed in our previous work how Jess can be used for monitoring water quality, but by bringing input data manually. In this paper, we enable stream data support and thus a timely detection of faulty water quality statuses by also extending our ontology with the pollutants module. C-SPARQL abilities to filter and aggregate RDF streams are utilised to enable closed-world and time-aware reasoning with Jess rules. Moreover, Jess Tab functions are used to enable non-monotonic behaviour.

The final publication is available at INDERSCIENCE Publishers via https://doi.org/10.1504/IJMSO.2016.10004248

StreamJess: Enabling Jess for Stream Data Reasoning and the Water Domain Case

Jajaga, E., Ahmedi, L., Ahmedi, F.
Book Chapter Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'16), Bologna, Italy, November 19-23, 2016 (Poster and Demo Track). Ciancarini P. et al. (eds) Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science, vol 10180. 2016, Springer, Cham, ISBN 978-3-319-49003-8

Abstract

This paper introduces StreamJess, a Stream Reasoning system that layers on top of a state of the art query processing system such as C-SPARQL to enable closed-world, non-monotonic and time-aware reasoning with Jess rules. The system is validated in the water quality monitoring domain by demonstrating water bodies - classification and pollution sources investigation.

The final publication is available at Springer via https://doi.org/10.1007/978-3-319-58694-6_15

Association rule mining with context ontologies: An application to mobile sensing of water quality

Bytyçi, E., Ahmedi, L., Kurti, A.
Book Chapter Metadata and Semantics Research (MTSR), pp. 67-78, Springer International Publishing, 2016. doi:10.1007/978-3-319-49157-8_6.

Abstract

Internet of Things (IoT) applications by means of wireless sensor networks (WSN) produce large amounts of raw data. These data might formally be defined by following a semantic IoT model that covers data, meta-data, as well as their relations, or might simply be stored in a database without any formal specification. In both cases, using association rules as a data mining technique may result into inferring interesting relations between data and / or metadata. In this paper we argue that the context has not been used extensively for added value to the mining process. Therefore, we propose a different approach when it comes to association rule mining by enriching it with a context-aware ontology. The approach is demonstrated by hand of an application to WSNs for water quality monitoring. Initially, new ontology, its concepts and relationships are introduced to model water quality monitoring through mobile sensors. Consequently, the ontology is populated with quality data generated by sensors, and enriched afterwards with context. Finally, the evaluation results of our approach of including context ontology in the mining process are promising: new association rules have been derived, providing thus new knowledge not inferable when applying association rule mining simply over raw data.

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49157-8_6

An Integrated Web Portal for Water Quality Monitoring through Wireless Sensor Networks

Ahmedi L., Sejdiu B., Bytyçi E., Ahmedi F.
Journal International Journal of Web Portals (IJWP), vol. 7, no. 1, pp. 28-46, 2015. doi:10.4018/IJWP.2015010102

Abstract

Wireless sensor networks (WSNs) are aiding water quality monitoring with support for real-time and remote quality measurements in terrain. Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. However, the Web portal introduced here is essentially an integrated portal since it supports modeling and management of both, the observational stream data on water quality coming from wireless sensors - dynamic data, as well as of the data describing the WSN itself, its devices and the corresponding site allocation data - static data. Access is given to a wide range of individuals, from water experts to WSN engineers, to general public. Experts' module infers statistics about water parameters given the experts' data and rules. The portal is further distinguished for its level of scalability: it allows adding with ease new components, like add certain new regulatory documents for water quality, and directly compare data measured by sensors with corresponding quality standards. The aim is to enrich the portal with semantics in future.

The final publication is available at IGI Global Publishing via http://www.igi-global.com/article/an-integrated-web-portal-for-water-quality-monitoring-through-wireless-sensor-networks/153540

An Expert System for Water Quality Monitoring based on Ontology

Jajaga, E., Ahmedi, L., Ahmedi, F.
Book Chapter Metadata and Semantics Research (MTSR), pp. 89-100. Springer International Publishing, 2015.

Abstract

Semantic technologies have proved to be a suitable foundation for integrating Big Data applications. Wireless Sensor Networks (WSNs) represent a common domain which knowledge bases are naturally modeled through ontologies. In our previous works we have built domain ontology of WSN for water quality monitoring. The SSN ontology was extended to meet the requirements for classifying water bodies into appropriate statuses based on different regulation authorities. In this paper we extend this ontology with a module for identifying the possible sources of pollution. To infer new implicit knowledge from the knowledge bases different rule systems have been layered over ontologies by state-of-the-art WSN systems. A production rules system was developed to demonstrate how our ontology can be used to enable water quality monitoring. The paper presents an example of system validation with simulated data, but it is developed for use within the InWaterSense project with real data. It demonstrates how Biochemical Oxygen Demand observations are classified based on Water Framework Directive regulation standard and provide its eventual sources of pollution. The system features and challenges are discussed by also suggesting the potential directions of Semantic Web rule layer developments for reasoning with stream data.

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24129-6_8

Ranking Authors on the Web: A Semantic AuthorRank

Ahmedi L., Halilaj L., Sejdiu G., Bajraktari L.
Book Chapter Social Networks: Analysis and Case Studies. Part of the series Lecture Notes in Social Networks, pp. 19-40. Springer Vienna, 2014.

Abstract

Author ranking is growing in popularity since search engines are considering the author's reputation of a Web page when generating search results. A question that naturally arises is whether we should rank authors on the Web as we rank Web pages by considering their links. In addition, over what links to actually calculate author ranking? We have adopted an extended FOAF ontology, the so-called Co-AuthorOnto ontology, able to represent authors, but also their co-author links on the Web. We further extended Co-AuthorOnto with PageRank and AuthorRank metrics for ranking authors based on their co-author links. Important to note is that both PageRank and AuthorRank are implemented in Semantic Web Rule Language (SWRL), which represents a novelty and fits well with the semantic modeling of authors and their co-author relationships within FOAF. Preliminary semantic ranking results are demonstrated, showcasing also the huge potential of this ranking approach for adopting it by search engines where our future work will focus.

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-7091-1797-2_2

An Ontology Framework for Water Quality Management

Ahmedi L., Jajaga E., Ahmedi F.
Conference Paper Proceedings of the 6th International Workshop on Semantic Sensor Networks co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, Oct. 2013. CEUR Workshop Proceedings, vol. 1063, pp. 35-50, 2013.

Abstract

Although Semantic Web builds on well-established foundations and we are witnessing its expansion across multiple domains, the community has to-date been rather keen on building hybrid ontology-based water quality management systems. Our vision is to build a pure Semantic Web framework for effective management of water quality. In line with this, an SSN-based ontology for water quality management has been developed to support water quality classification based on different regulation authorities such as Water Framework Directive. A couple of case studies from surface waters and drinking waters have been used to illustrate the usability of the proposed ontology.

Information and Communication Technology

Ahmedi L.
Book Chapter Priority Setting to Structure Participation in the 7th Framework Program, Background Country Reports - Kosovo, pp. 109-148. WBC-INCO.NET, 2013.

Executive Summary

Information and Communication Technologies (ICTs) present the technological fundament of the information and knowledge based society. Kosovo has a chance to improve the wellbeing of its citizens through technology-enabled industries and services. Moreover, the results delivered by ICT R&D may be well used by many other disciplines of science and technology. In addition, ICTs are the main driving engine of innovation in a modern society, and as such should be given the attention they deserve.

Kosovo has recently improved in ICT performance. However, existing research infrastructure and resources are scarce, and investments should follow to support research in ICT. There is an urgent need for enabling technologies for building an information and knowledge based society.

The project "Co-ordination of Research Policies with the Western Balkan Countries" (wbc-inco.net), funded by the EU under the FP7 Programme, aims to contribute integration of the Western Balkan Countries into the European Research Area. As part of that project, this national background report on ICT research for the period 2009-2013 has been prepared.

The report first outlines the current ICT research environment in Kosovo, i.e., the local policy framework, fields of competencies in ICT research, the ICT sector trends, and the main socio-economic challenges that affect the R&D in ICT field. Involvement of Kosovo in EU research projects with an emphasis on ICT is then discussed, followed by a SWOT analysis of the ICT research capacity in Kosovo

Finally, the national background report introduces ICT research priorities on the basis of the country's readiness, as well as priorities on the basis of future potential. A summary of the consultation process conducted is also presented in the report. Although in a tight priority competition, 10 priorities were identified to represent the highest ICT research priorities of Kosovo for the period 2009-2013. For each priority, specific (socio-economic or other) objectives are defined, and a set of research topics per objective listed accordingly.

In terms of a wider objective, the national background report on ICT research is intended to contribute to the shaping of future research cooperation between EU and Western Balkan countries by funding programmes and policies of EU research that meet the actual needs of regional ICT domain.

AuthorRank+FOAF: Ranking Co-authorship Networks on the Web

Ahmedi L.
Conference Paper Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Istanbul, Turkey, Aug. 26-29, 2012, pp. 315-321. IEEE Computer Society, 2012.

Abstract

The FOAF ontology has become a core model for describing social data of people and their links on the Web, and the people ranking is growing in popularity since search engines are considering the author's reputation of a Web page when generating search results. FOAF alone is yet insufficient to model social networks for ranking people on the Web. We concentrate here in co-authorship networks as a special case of social networks, and propose a model which extends FOAF with Page Rank and Author Rank metrics, both implemented in Semantic Web Rule Language (SWRL), for gauging the reputation of authors. Preliminary results are demonstrated, showcasing also the huge potential of this ranking approach for adopting it on social networks in general, and by search engines in particular where our future work will focus.

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

A Uniform Semantic Web framework for Co-authorship Networks

Ahmedi L., Abazi-Bexheti L., Kadriu A.
Conference Paper Proceedings of the IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing (DASC 2011), Sydney, Australia, Dec. 12-14, 2011, pp. 958-965. IEEE Computer Society, 2011.

Abstract

Modeling co-authorship networks merely in FOAF, as is common with social networks, suffers the inability to capture semantics which are specific to collaboration schemes in the scientific community. For instance, the weight of the co-author relation which expresses the magnitude of that relation between two co-authors is subject to change dynamically as new publications are assigned to the co-authorship graph. They require mechanisms like rules in Semantic Web to calculate them. We introduce here a framework of (1) extending the FOAF ontology, and (2) implementing SWRL rules to construct weighted co-authorship networks which will contain metrics like exclusivity, frequency, or weight, as suggested in the literature. It makes it easy for the extended FOAF to integrate it with the native SWRL rules, and provide thus a uniform framework based solely on the Semantic Web for the representation and analysis of weighted co-authorship networks. An evaluation of our framework run on real data is provided.

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ICTs in Kosovo

Ahmedi L.
Journal The Academy of Sciences for the Developing World, Trieste, Italy. TWAS Newsletter, The Academy's quarterly magazine. ISSN 2222-7369, Vol. 23, Nr. 2, pp. 29-34. 2011 (the only presentation invited to be compiled into a publication by TWAS).

Abstract

BUILDING SCIENTIFIC CAPACI TY, BASED ON A STRONG FOUNDATIONIN INFORMAT ION AND COMMUNICATION TECHNOLOGIES, IS A KEY TO A BETTER FUTURE FOR KOSOVO, SAYS LULE AHMEDI, ASSOCIATE PROFESSOR OF ELECTRICAL AND COMPUTER ENGINEERING AT THE UNIVERSITY OF PRISHTINA. AHMEDI SPOKE ABOUT THE STATE OF SCIENCE AND DEVELOPMENT IN KOSOVO AT THE TWAS- IAP CONFERENCE, 'PROMOT ING REGIONAL COOPERATION IN SCIENCE, TECHNOLOGY AND INNOVATION IN THE BALKANS'.

The final publication is available at the TWAS entire volume via http://twas.org/sites/default/files/nl23-2.pdf

Making XPath Reach for the Web-Wide Links

Ahmedi L.
Conference Paper Proceedings of the 20th ACM Symposium on Applied Computing 2005 (SAC 2005) - Web Technologies and Applications Track, Santa Fe, New Mexico, USA, March 13-17, 2005, pp. 1714-1721. ACM, 2005.

Abstract

Opting for link semantics in XML is almost like hyperlinks for HTML documents. XLink describes a standard way to add hyperlinks to an XML document. The current XPath technologies are restricted to follow ID / IDREF(S) links for intra-document navigation only. We investigate the Lightweight Directory Access Protocol (LDAP) that offers a rich collection of primitives to express links among distributed data collections in the network, and facilities to follow links when searching. In virtue of querying the underlying LDAP model by referrals, we developed an extended XPath processor that is capable of addressing links of any type (IDREF(S), XLink) embedded in XML data on the Web. Links may be inter-document, or even traverse across different local or remote servers. We describe the internal LDAP data representation and query model used by the processor for the storage and querying in XPath of XML documents based on links, and provide examples to illustrate them. We complement the discussion with experimental analyses that prove the efficiency of our query evaluation techniques. The latter confirms the relevance of our approach for applications that need to interact with interlinked XML document networks in an XPath-like fashion.

Ontology-Based Querying of Linked XML Documents

Ahmedi L., Lausen G.
Conference Paper Proceedings of the WWW2002 International Workshop on the Semantic Web (Semantic Web Workshop 2002), Honolulu, Hawaii, SHBA, May 2002. CEUR Workshop Proceedings, vol. 55, 2002.

Abstract

We investigate the Lightweight Directory Access Protocol (LDAP) that provides a powerful means to link distributed data collections into an entity searchable as a single collection. Besides the linking mechanism, LDAP offers a rich collection of modeling primitives required to express ontologies as a common searchable interface. Encouraged in addition by the fact that XML has become the de facto standard for information interchange on the Internet, LGACCESS, our global querying system, combines ontologies and XML into a unified LDAP-based framework to improve the power for accessing related XML data in the network. We describe a global query evaluation strategy based on expressive links among entities that are spread across different local or remote servers. Also, the way ontologies are annotated to hold such network-aware links along with semantic annotations is shown. Built on grounds of the standard and well-established LDAP technology instead of the technologies that are still in the process of adoption by the community, our system is an ideal candidate for applications that need to interact with semistructured databases at a global extent.

LDAP-Based Ontology for Information Integration

Ahmedi L., Marron P. J., Lausen G.
Conference Paper Proceedings of the GI-Fachtagung Datenbanksysteme fuer Business, Technologie und Web (BTW 2001), Oldenburg, Germany, March 2001, pp. 207-214. Springer, Informatik aktuell, 2001.

Abstract

The increase in popularity of the Internet has lead to the proliferation of heterogeneous information systems that could be better utilized if they operated under a common query interface. The purpose of this paper is to describe the representation formalism of ontologies in an LDAP-based information integration system, and to point out the advantages of such an approach over traditional systems. The simplicity, coherence and uniformity of the LDAP model allows us to seamlessly integrate source data, schemata discrepancies, and semantic information under a common framework, that is, by design, able to reconcile integration and data processing issues.

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-56687-5_16

Directory-Based Ontologies for Integrating XML Data

Ahmedi L.
Conference Paper Proceedings of the International Workshop on Foundations of Models for Information Integration (FMII 2001) as the 10th Workshop in the series Foundations of Models and Languages for Data and Objects (FMLDO), Viterbo, Italy, Sept. 2001.

Abstract

With the increase in popularity of XML on the Internet, the requirements of database management systems have shifted from traditional transaction-based databases towards the kind of characteristics provided, by design, by the Lightweight Directory Access Protocol. At the same time, the design and use of a middleware to provide a common querying interface to XMl-based systems has become and increasingly relevant research problem, encouraged by the fact that XML has become the de facto standard for information interchange on the Internet. The purpose of this paper is to describe the formalisms for representing ontologies in LGAccess, our LDAP-based integration system, that is able to seamlessly integrate source data, schemata discrepancies, and semantic information under a common framework, thanks to the simplicity, coherence, and uniformity of the LDAP model. Due to a close resemblance between the XML model and LDAP, and to avoid “dirtying” sources or ontologies with semantic annotations necessary for integration, we introduce a middleware in our system to hold such annotations and support XML ontologies in their “native” representation without cumbersome transformations. Furthermore, instead of using the technologies that are still in the process of adoption by the community, the middleware is built on grounds of the standard and well-established LDAP technology.

Global Access to Interlinked XML Data Using LDAP and Ontologies

Ahmedi L.
Thesis Ph.D. Thesis, University of Freiburg, Germany, April, 2004, ISBN 3-8325-0759-0, pp. 1-144.

The thesis is published as book by Logos Verlag Berlin and is available via http://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=0759&lng=eng&id= or external link.

Abstract

Data integration systems share the idea that the Web as a huge repository of information sources made available online could be better utilized if they operated under a common query interface. Limiting the domain of querying to a predefined collection of terms and their relationships in form of ontologies as advised by the Semantic Web initiative makes the problem of integration easier.The purpose of this thesis is, therefore, to provide an ontology-based data integration system. Ontologies are out in a middleware of the system and are annotated to hold along with the semantic data, a kind of links which relate source data and allow to readily carry out sophisticated tasks for users when querying.Given the ubiquity of XML on the Web, the system is primarily dedicated to interact with semistructured databases. On the other hand, the use of Lightweight Directory Access Protocol (LDAP) to store a variety of information is also steadily gaining in popularity. Encouraged in addition by the fact that the LDAP model closely resembles that of XML, instead of using the XML technologies that are still in their infancies, we have chosen to use the well established LDAP technology in a middleware. Moreover, links that relate remote data make particular use of the LDAP's tight connection to network channels, enabling efficient query processing regardless of the breadth of data distribution. This way, a system on top of LDAP ontologies is built that allows a lightweight global access in XPath - the W3C XML core query language - to the content of XML data from anywhere in the network, keeping thereby the inner mixture of allocation of data, their schemata and semantics transparent to the user. XML data are assumed to be “webbed”, i.e. contain hyperlinks, in order to coexist as an ultimate data format in the World Wide Web. Generic algorithms for dereferencing linked XML data when querying with XPath are developed. The novelty thereby lies in the ability to handle links that may traverse across different local or remote servers as defined by XLink apart from the (internal) links dating from the time IDs and IDREF(S)s were used. Again, the rich LDAP repository of modeling primitives, this time regarding links, are deployed.

Currrent Teaching

  • Present 2005

    University of Prishtina, Faculty of Electrical and Computer Engineering, Computer Engineering

    Lectures, PhD studies: Knowledge representation and reasoning, Web-based information systems, Social web, Intelligent information retrieval and data mining.

    Lectures, master studies: Semantic web, Research methodologies, Seminar in information systems. Past: Data on the internet I, Data on the internet II, Web technologies, Advanced databases.

    Lectures, bachelor studies: Databases, Internet, Internet programming, Data models and query languages, Data mining, Information retrieval. Past: Software engineering, Professional practice (internship).

Teaching History

  • 2004 1999

    University of Freiburg, Germany, Department of Databases and Information Systems headed by Prof. Dr. G. Lausen

    Lectures, master studies: Database programming in SQL/Oracle (lab course)

    Exercises, diploma studies: Databases, Internet databases

    Organisation and supervision of seminar works: Semantic web, XML query and transformation languages, Materialized views on the internet

  • 2013 2010

    Linnaeus University, Computer Science, Sweden

    Invited lecture, master studies: Semantic Web in use, part of the module Adaptive and Semantic Web

    Invited distance lecture, bachelor studies: Introduction to Semantic Web, part of the module Intelligent multimedia systems

  • 2011 2005

    South East European University, Computer Science Department, Macedonia

    Lectures, master studies: Analysis and design of databases, Database programming (lab course), XML and databases, Semantic Web, Wrapper generation (team project course), Social network analysis (team project course), Advanced algorithms and data structures, Software engineering, Object-oriented software engineering

    Lectures, bachelor studies: Databases, Data structures, XML and databases, Semantic Web, Programming I, Programming II, Client/server programming

  • 2012 2011

    Sabanci University, Turkey

    Invited distance lecture, master studies: Introduction to Semantic Web: A Tutorial, part of the joint graduate seminar of Computer Science and Industrial Engineering departments

    Invited distance lecture, bachelor studies: Introduction to Semantic Web

  • 2011 1996

    University of Prishtina

    Faculty of Economics - Lectures, bachelor studies: Database management

    Faculty of Sciences and Mathematics, Computer Science Department - Lectures, bachelor studies: Software engineering

    High School of Pedagogy - Lectures: Basics of informatics

  • 2012

    American University in Kosovo (AUK); Media, Science and Technology Unit

    Lectures, bachelor studies: Introduction to Multimedia: The Internet and the Web

  • 2018 2007

    Riinvest University College, Faculty of Computer Science, Software Engineering

    Lectures, master studies: Past: Semantic web, Information retrieval, Advanced database systems, Database management.

    Lectures, bachelor studies: Internet technologies, IT Project 2. Past: IT Project 1, Distributed systems, Basics of programming.

Projects

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    InWaterSense - Intelligent Wireless Sensor Networks for Monitoring Surface Water Quality

    Project manager. Author of the proposal.

    EU IPA funding scheme for research, July 2012 - July 2015.

    "InWaterSense: Intelligent Wireless Sensor Networks for monitoring Surface Water Quality" is an EU funded project managed by the European Union Office in Kosova and implemented by University of Prishtina (Faculty of Electrical and Computer Engineering, and Faculty of Civil Engineering and Architecture), its young academic staff and students from both departments headed by Prof. Lule Ahmedi and Prof. Figene Ahmedi. A valuable contribution was given by international and local partners in the consortium: University of Duisburg-Essen (Germany), Vienna University of Technology (Austria), National Institute Tyndall (Ireland), Linnaeus University (Sweden), and Kosovo Hydro-Meteorological Institute. InWaterSense has achieved its aim in applying recent advanced practices stemming from ICT in water quality monitoring for healthy environment, and in strengthening Kosovo's capacity in research in national priority sectors of environment and ICT. A wireless sensor network for water quality monitoring is put in place and functional in Sitnica river.

    Moreover, an intelligent software platform with a Web portal at the frontend has been implemented and providing in real-time and remotely raw water quality data of Sitinca at measurement points through sensors (inwatersense.uni-pr.edu/portal). For more on results of the project, visit the official project Website at inwatersense.uni-pr.edu, or download the project poster.

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    Erasmus+ Mobility in ICTs UP - NTNU Gjųvik, Norway.

    Project coordinator at University of Prishtina.

    EU Erasmus+ Programme, Higher Education Student and Staff Mobility, 2015 - 2017.

    This is a project funded by the Erasmus+ programme of the European Union to support exchange of students and staff in the study area of ICTs between our two institutions:

    • University of Prishtina, Faculty of Electrical and Computer Engineering, and,
    • Norwegian University of Science and Technology in Gjųvik (NTNU Gjųvik), Faculty of Computer Science and Media Technology.
    The project is being coordinated by Prof. Ahmedi at UP, and lasts for two years 2015 - 2017.

    There are already flows being implemented. Five students of University of Prishtina, among best students in their generation in Computer Engineering, i.e.:

    • Bardh Shabani
    • Albiona Berisha
    • Granit Bimbashi
    • Brikena Çelaj
    • Gresa Mjeku
    have just started attending the winter semester at NTNU Gjųvik, Norway, as part of the exchange program within the project.

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    ICT-KOSEU: Supporting Dialogue and Cooperation between Europe and Kosovo in Collaborative ICT R&D

    Poject leader for University of Prishtina

    EU FP7 Programme, January 2012 - April 2014

    To get informed about the project, please visit the Website of the project at: www.ictkoseu.eu

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    Tourist Tour Planning and Social Network Analysis

    Project manager. Author of the proposal.

    National Research Grant, Ministry of Education, Science and Technology, January 2012 - December 2012

    The main contribution of the project is a novel system introduced for tourist tour planning based on social network analysis (SNA).

    The system provides a travel plan to support end users once they have given some basic input in relation to their recommended Points of Interest (POI) to visit in the given destination. The user profile and his network of friends aids in recommending that user's destination POIs. Several models of interaction between the user and the system have been considered to adopt the best case scenarios. The linkage of the user and his network of friends in terms of the recommendations for the given destination has been considered to satisfy the user's taste as close as possible. The system is compliant with the existing e-Tourist solutions, but seeks to in addition gain from a typical behavior of a user on the Web 3.0 which acts within a social network rather than isolated in whatever online activity (alike the selection of the destination POIs).

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    Spontaneous Integration of Heterogeneous Information on the Web

    Research project founded by German Foundation for Research (DFG), and University of Freiburg, Germany, 1999-2004

    The Internet as an enormous large heterogeneous information repository is witnessing the need to better utilize the available information by operating under a common query interface. Limiting the domain of integration to a predefined collection of terms and their relationships in form of ontologies makes the problem of integration easier. The purpose of this project is therefore to develop and implement an ontology-based information integration system. To provide support for data integration, we avoid "dirtying" sources or ontologies with semantic annotations necessary for integration and instead introduce a middleware in our system to hold such annotations.
    The XML is on the way to prevail over all other existing data representation formats in the Web (HTML). Hence, to keep pace with current trends, we consider the system should without fail be XML-compatible. Due to a close resemblance between XML and LDAP models (hierarchical, simple, flexibile, extensibile, etc.) and to allow for a seamless integration of source data, schemata discrepancies and semantic information under a common framework, we put the LDAP standard technology in a middleware. Except to hold annotations, the LDAP middleware serves at the same time as a medium for a stable and efficient storage of ontologies in our system.

    To survey, the whole paradigm discerns with two advantageous features:
    It provides a light-weight global access to the content of XML data through a common ontology in XML from anywhere in the network, and
    It performs a seamless integration of data, keeping the inner mixture of allocation of data, their schemas and semantics transparent to the user.
    These highlights make our approach realistic for future trading architectures for information integration.

    For more information about the project, please visit the following page at University of Freiburg, Germany: dbis.informatik.uni-freiburg.de/FormerProjects/Integration/.

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    Academic Exchange for Progress (AEP)

    Poject leader for University of Prishtina. Co-author of the proposal.

    HERD Programme, Norway, January 2012 - December 2014

    To get informed about the project, please visit the Website of the project at: www.aepmak.org.
    Following is the list of students from our university who were supported by the project to attend one semester of their bachelor studies at Gjųvik University College, Norway:
    Mimoza Lladrovci, Fisnik Alidemi, Ylli Sadikaj, Ekrem Hajredini, Dardan Maraj, Esat Pllana, Gentiana Desipojci, Lavdrim Shala, Isuf Deliu, Drilon Rugova, Zanfina Gashi, Gresë Hyseni, Arnold Plakolli, Blend Mehmeti, Ditjon Berisha.
    Further, support to MSc. Zenun Kastrati, teaching assistant at our department, is provided by the project to conduct his PhD studies at Gjųvik University College.
    Collaboration in teaching and research are among further main activities followed jointly by academic staff of partner universities in the project from Macedonia, Albania and Kosovo (MAK) together with associations of IT companies in these respective countries, and led by Gjųvik University College, Norway.

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    Linnaeus Palme Exchange Programme, Sweden

    Project leader for University of Prishtina.

    Sweden, June 2012 - July 2014

    This is a joint project with the School of Computer Science, Physics and Mathematics at Linnaeus University in Växjo, Sweden, supported by the Swedish Linnaeus-Palme Exchange Program.

    Two master students at our Telecommunications study programme were provided support to finish their second study year at Linnaeus University, Sweden, in the academic year 2013-2014.
    BSc. Valon Blakaj, Master student
    BSc. Gent Gashi, Master student

    Moreover, two academic staff members of our department were provided support by the project to teach courses at Linnaeus University, Sweden:
    Prof. Assoc. Dr. Lule Ahmedi, Computer Engineering
    Prof. Assoc. Dr. Blerim Rexha, Computer Engineering

    At the very outset in the project, a study visit by two academic staff members of our department:
    Prof. Assoc. Dr. Lule Ahmedi
    MSc. Kadri Sylejmani
    took place in Linnaeus University to design the collaboration scheme in terms of mobility for staff and students, which followed later in the project as described above.

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    Linking Public University Data

    Project manager. Author of the proposal.

    South East European University (SEEU) Research Grant, Macedonia, Oct 2009 - July 2010

    In this project, publication of open data of South East European University using Semantic Web and linked data technology is aimed. An ontology to describe university related information is developed. Then, the available structural and unstructured datasets of university are identified and accordingly mapped to open data. The aim of this repository is serving RDF triples around university information, thus offering convenience for data integration and information management. Finally, a human user interface to effectively and efficiently use and explore the dataset is developed and deployed.

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    Computer Science Master Study Program at University of Prishtina

    Local project coordinator.

    University of Prishtina, EU Tempus Foundation, 2005-2009

    A new master study program has been designed and implemented together with project partners, i.e., IT Carlow, Ireland, and University of La Rochelle, France.

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    eLearning Task Force of Kosova for the design and implementation of an infrastructure for distance learning at University of Prishtina

    WUS Foundation Austria, Prishtina, 2004-2005

    An e-Learning infrastructure has been designed and implemented to support e-lectures, i.e., teaching in distance.

Supervision / Review MSc and PhD Thesis

  • 2013

    Vienna University of Technology, Faculty of Computer Science

    Evaluation Committee Member (External evaluator,) on the defense of PhD thesis

    Kadri Sylejmani, Optimizing Trip Itinerary for Tourist Groups

  • 2004

    Albert-Ludwigs-University of Freiburg, Germany, Department of Databases and Information Systems

    Co-supervision of master thesis

    Bhaskara Reddy Poluru, Ontology Rules over Directories (Representation in LDAP and Reasoning in KAON), 2004

  • 2006

    Politechnic University of Tirana

    Evaluation Committee Member (External evaluator) on the defense of two master thesis

    Ani Dasho, Konceptimi, ndërtimi, implementimi i aplikacionit financiar të investimeve të brendshme dhe të huaja mbështetur në konceptimin dhe dizenjimin e platformës së re të bazës së të dhënave financiare

    Alketa Hyso, Ndërtimi dhe sjellja e agjentëve reflektivë dhe të orientuar nga objekti

    Present 2008

    University of Prishtina

    Supervision of PhD thesis

    Eliot Bytyçi, Data Mining through Association Rules on Context Ontologies, 2014 - actual

    Supervision of master thesis

    Fisnik Alidemi, An approach on recommending applications in Android mobile devices, 2018

    Barbana Komoni, Outlier detection in stream data through clustering, 2018

    Berat Perçuku, Applying data mining techniques to increasing the bank profit, 2017

    Rrezarta Krasniqi, Traditional relational databases versus relational databases on cloud using Azure platform, 2016

    Dardan Shabani, Query recommendation using query log in search engines, 2016

    Akif Gash, Krahasimi i koncepteve themelore në bazat relacionale të të dhënave me ato dokument - Rast studimi: MySQL dhe MongoDB, 2015

    Mevlan Shabani, Zhvillimi i bibliografisë digjitale të publikimeve të FIEK si një aneks i bibliografisë DBLP (Digital Bibliography & Library Project), 2014

    Lavdim Halilaj, Rangimi i autorëve sipas algoritmeve semantike PageRank dhe AuthorRank duke përdorur metodën iterative, 2014

    Gëzim Sejdiu, Rangimi semantik i ueb faqeve - Wikipedia si një rast studimi, 2014

    Mehmet Sadriu, Një portal interaktiv i rekomandimit të pikave të interesit për turistë, 2014

    Driton Abdullahu, Zhvillimi i gjuhëve për fusha specifike dhe aplikimi i tyre në zhvillimin e sofuterit - një rast studimor nga fusha e zhvillimit të Ueb Aplikacioneve, 2013

    Besmir Sejdiu, Sistemi për menaxhimin e të dhënave rrëke nga sensorët pa tela për matjen e kualitetit të ujit, 2013

    Korab Rrmoku, Rekomandimi i pikave turistike përmes Analizës së Rrjeteve Sociale, 2013

    Drilon Konjufca, Disenjimi dhe implementimi i deponive të të dhënave duke përdorur komponente të lira dhe të bazuara në kod të hapur, 2012

    Labinot Bajraktari, Shfrytëzimi i data mining teknikave për grupim në sistemet për ndërlidhjen e rekordeve, 2011

    Valdon Mustafa, Përmirësimi i performancës tek baza relacionale e të dhënave përmes optimizimit të pyetësorëve dhe pamjeve, 2011

    Genc Hamzaj, Përmirësimi i performancës së bazave relacionale të të dhënave përmes indekseve dhe ndarjes nëpër klasterë, 2011

    Valdrin Haxhiu, Gjetja e fakteve dhe trendeve brenda të dhënave në bazën e të dhënave të studentëve të FIEK-ut, 2010

    Nora Spahiu, Implementimi i serviseve të observimeve të senzorëve për monitorimin e objekteve lëvizëse, 2010 (në bashkëpunim me Prof.Dr. Alen Bouju, Universiteti La Rochelle, Francë)

    Dafina Sadiku, Menaxhimi i të dhënave dinamike për shfrytëzues të Androidit, 2010 (në bashkëpunim me Prof.Dr. Alen Bouju, Universiteti La Rochelle, Francë)

    Eliot Bytyçi Besueshmëria e Data Mining në edukim: krahasimi i të dhënave të fituara dhe atyre reale, 2010

    Mentor Arifaj, Procesimi i XPath/XQuery i zgjeruar edhe për XLink hiperlinqe 2008

  • Present 2005

    South East European University, Macedonia

    Supervision of PhD thesis

    Besmir Sejdiu, TBD, 2018 - actual

    Korab Rrmoku, TBD, 2018 - actual (co-supervision)

    Edmond Jajaga, Rule-based reasoning over stream data on Semantic Web, 2012 - 2017

    Supervision of master thesis

    Kaltrina Nuredini, Social network analysis metrics using a co-authorship network, 2012

    Murat Aliu, Creating and serving linked data to humans and machines, 2012

    Naxhije Jakupi, An e-learning tool for database normalization and denormalization, 2012

    Edlira Kalemi, Ontologies on academic networks, 2011

    Hilmi Haxhihamza, Efficiency of cache-replacement algorithms while retrieving data from a relational database and XML files in a web based system, 2011

    Edmond Jajaga, Normalization of relations and ontologies, 2010

  • Present 2015

    Riinvest University College, Faculty of Computer Science

    Supervision of master thesis

    Nora Pireci-Sejdiu, Comparing text similarity algorithms for query recommendations in search engines, 2018

    Miftar Miftari, Analysis of similarity functions in recommender systems, 2015

Professional Activities

    Reviews

  • Present 2015

    Small research grants by MEST (Ministry od Education, Science and Technology, Republic of Kosovo) as member of the research council in the field “Interdisciplinary research in ICT” of MEST

  • 2015 2014

    Journal ACM Transactions on Intelligent Systems and Technology (ACM TIST) (Impact factor: 9.39). Ranked as the top 1st journal by SCImago among ca 1500 indexed journals/conferences in computer science during that period.

  • 2014

    Journal Tourism Management, Elsevier (Impact factor: 2.377)

  • 2013

    Social Network Analysis and Mining, Springer 2013

  • 2013 2008

    Journal AKTET, Alb-Shkenca Institute

  • 2012

    Proceedings of the Annual "Science Week" Conference (orig. “Java e shkencës 2012”) organized by the Ministry of Education, Science and Technology, Kosovo

  • 2011

    Book - Mathematika III dedicated to Computer Engineering students by Qefsere Doko-Gjonbalaj

  • 2007

    Book - Dizajnimi dhe zhvillimi i web-it: koncepte bazë by Z.Dika, A.Luma, South East Eruopean University, Macedonia

  • 2004 2003

    3rd International Semantic Web Conference (ISWC). External reviewer. Ranked as A conference according to Cora

  • 2002

    Informatik - Forschung und Entwicklung (Springer), journal of the German Society of Computer Science (GI - Gesellschaft für Informatik). External reviewer.

  • 2000

    1st International Electronic Commerce and Web Technologies Conference (EC-Web). External reviewer.

  • 2000

    International Conference on Deductive and Object-Oriented Databases (DOOD). External reviewer.

  • Invited Talks

  • Nov 2014

    Smart City Forum 2014, Durrës, Albania

    Invited lecture. The InWaterSense Project: A Semantic Sensor Web to monitor the water quality in rivers in Kosova

  • Dec 2013

    Linnaeus University, Sweden

    Invited lecture. An approach of tourist tour planning supported by social network analysis. Part of the Social Media Week hosted by Media Technology Department during the week of 2nd to 6th of December

  • Sep 2013

    Vienna University of Technology, E-Commerce Group headed by Prof. Jürgen Dorn, Vienna, Austria

    Invited lecture. An approach of tourist tour planning supported by social network analysis

  • Jun 2011

    1st International Symposium on Computing in Informatics and Mathematics (ISCIM 2011), Tirana & Durrës, Albania, June 2-4, 2011

    Keynote speaker. Data Expansion on the web and its impact in science, curriculum and industry

  • Sep 2010

    TWAS-IAP workshop on The Role of the Academies in Promoting Regional Cooperation in Science, Technology and Innovation (STI) in the Balkans (www.twas.org), Trieste, Italy, 9-10 Sept. 2010. High representatives from Academies of Sciences and Arts from Balkans and abroad, as well as from Government of Italy.

    Invited talk. Representing ASHAK (the national academy of Kosovo) entitled ICT Research and Development in Kosova: Facts and Future Trends. The only presentation invited afterwards to get compiled into a newsletter article by TWAS.

  • Board Membership / Positions

  • Present 2015

    Member of the Research Council in the field “Interdisciplinary research in ICT” of the Ministry of Education, Science and Technology

  • Present 2008

    Member of the Commission of Experts in Computer Science of the Ministry of Education, Science and Technology for Recognition and Equivalence of university qualifications / diplomas gained outside country

  • 2007

    Head of the Research Center of the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU), Macedonia

  • Organization of Conferences / Seminars

  • Feb 2014

    Organization of the international research seminar in ICT at University of Prishtina with some 100 patricipants supported by the ICT-KOSEU EU FP7 project

    Talk on “Semantic Sensor Web and the InWaterSense project”

  • 2011 2009

    Co-founder of the conference for free and open source software Software Freedom Kosova Conference. Prishtinë, Maj 2009

    General Chair of the conference 1st Software Freedom Kosova Conference (SFK'09), Prishtina, Aug. 2009

    General Chair of the conference 2nd Software Freedom Kosova Conference (SFK'10), Prishtina, Sept. 2010

    General Chair of the conference 3rd Software Freedom Kosova Conference (SFK'11), Prishtina, Nov. 2011

  • 2009 2008

    Founder of the annual seminar XML Days at SEEU, Macedonia, 2008

    Chair of the seminar XML Days at SEEU, Macedonia. May 2008

    Chair of the seminar XML Days at SEEU, Macedonia. May 2009

  • Participation in ICT Events

  • Nov 2013

    Participation at the ICT Event 2013, Vilnius, Lithuania, as part of the team of the FP7 EU project ICT-KOSEU

  • Sep 2012

    Participation in the ICT Proposal’s Day, Warsaw, Poland, as part of the team of the FP7 EU project ICT-KOSEU.

  • Sep 2011

    Participation in the ICTurkey 2011, Istanbul, Turkey

  • Sep 2010

    Participation in the ICT Event, Brussles, Belgium, as part of the team of the FP7 EU project ICT-KOSEU

  • Curricula Development

  • Present 2012

    University of Prishtina, Faculty of Electrical and Computer Engineering

    Design of study programs for PhD, master and bachelor studies in Computer Engineering

    Working group member

  • 2012

    American University in Kosovo (AUK); Media, Science and Technology Unit

    Design of a study program for undergraduate level with concentration in Web Systems Design and Development, and with concentration in Multimedia and Visual Communication

    Working group member

  • Present 2007

    Riinvest University College. Faculty of Computer Science

    Design of study programs for bachelor and master studies in Software Engineering

    Working group member

  • 2007

    South East European University (SEEU), Macedonia

    Design of a study program Bachelor in Computer Science, as well as of two study programs, Masters in Database Management, and Masters in Software Engineering

    Head of the working groups

  • Experience in Business and Societal Sector

  • 1998 1995

    Local company Comtrade, Prishtina

    Client consulting / technical services in computer and software configuration and maitenance, as well as in network design, implementation, and administration

  • 1998 1995

    Kosovo Foundation of Open Society (KFOS) - Soros, Prishtina

    Projects in Web design and programming

Contact & Address

Dr. Ing. Lule Ahmedi, Professor

University of Prishtina

Faculty of Electrical and Computer Engineering

Office #614

Kodra e diellit, p.n.

10000 Prishtina, Kosova