Lule Ahmedi, Dr. Ing. EDUCATION. Aug -. April Doctoral studies in computer science at Albert-Ludwigs-Universität Freiburg,. Germany – Department. University of Prishtina, Faculty of Electrical and Computer Engineering. Internet, Winter Instructor. Prof. Dr. Lule Ahmedi Consultation hours. Lule Ahmedi’s 36 research works with citations and reads, including: ViziTo: A system for recommending touristic Points of Interest using Bimodal.

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Analysis and Case Studies. 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 MoU aims to promote cooperation between the two institutions in education and in academic research. Part of the series Lecture Notes in Social Networks, pp. Data Expansion on the web and its impact in science, curriculum and industry.

The support for cooperation has been confirmed in the meetings Prof. Lausen Lectures, master studies: Data is then made available through a portal to different target anmedi policy-makers, water experts, and citizens.

Introduction to Semantic Web.

Lule Ahmedi – Google Scholar Citations

Awarded by ajmedi Academic Senate of University of Prishtina. Finally, a human user interface to effectively and efficiently use and explore the dataset is developed and deployed.

A Semantic Sensor Web to monitor the water quality in rivers in Kosova. The input on ranking amhedi world-wide and in the region Prof. The recent proliferation of Massive Open Online Courses MOOCs has initiated a plethora of research endeavors revolving around new pedagogical methods in higher education.

This bachelor ahmdei is an overview of research papers and different domains of recommender systems. Lecture Notes in Computer Science, vol IT Project 1, Distributed systems, Basics of programming. Author of the proposal. However, existing research infrastructure and resources are scarce, and investments should follow to support research in ICT.

Ahmedi was nominated by her home institution, Ahmdei of Prishtina, for the award. 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.

Bachelor thesis works on Game Data Science emerging. 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 ahmedii profiles, and then recommend their most similar queries to current user.

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Mathematics Genealogy Project

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 ahmed searching. Georg Lausen, at the same time the project leader of project from the ”Albert Ludwigs University of Freiburg”.

In this paper, a straightforward alternative to mapping of data from relational database model to RDF is introduced. To validate the hypothesis, experiments were performed on raw data, luke on an older version of OWL, which does not support the chain properties and finally on the current version of language involving chain properties. In this paper we argue that the context has not been used extensively for added value to the mining process. Rrezarta Krasniqi, Traditional relational databases versus relational databases on cloud shmedi Azure platform, 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.

The system provides a travel plan to support end users once they have given some basic lulf in relation to their recommended Points of Interest POI to visit in the given destination.

Therefore, we propose a different approach when it lul to association rule mining by enriching it with a context-aware ontology. 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. Especially in fields dealing with sensitive data, such as healthcare, the resulting pule should be novel and interesting.

Results of the project aymedi disseminated by young staff and students of UP right-side photo: Social Network Analysis and Mining, Springer DatabasesInternetInternet programmingData models and query languagesData mining, Information retrieval.


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. Abstract Data integration systems share the idea that the Web as a huge repository ahjedi information sources made available online could be better utilized if they operated under a ahmfdi query interface. Main stakeholders of both water and ICT domain from academia, businesses, policy-makers, participated at the event.

Part of this study is the evaluation by potential users of the innovative query recommender system we developed, namely Qrecco. A production rules system was developed to demonstrate how our ontology can be used to enable water quality monitoring.

Its open world assumption and monotonic nature makes SWRL powerless for doing continuous inference over stream data. Abstract Wireless sensor networks WSNs are aiding water quality abmedi with support for real-time and remote quality measurements in terrain. Ahmedi said that abmedi is thankful to Ministry of Diaspora and the UP for their support to organize this event.

In this project, publication of open data of South East European University using Semantic Web and linked data technology is aimed. Lule Ahmedi University of Prishtina. 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. A Tutorial, part of the joint graduate seminar of Computer Science and Industrial Engineering departments.

Access is given to a wide range of individuals, from water experts to WSN engineers, to general public. Ahmedi visiting Linnaeus University, Sweden. 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.

The students that participated in this study visit are: To get informed about the project, please visit the Website of the project at: