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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Links may be inter-document, or even traverse across different local or remote servers. 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. 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. We complement the discussion with experimental analyses that prove the efficiency of our query evaluation techniques.

Abstract Recommending the adequate query ahmeei search engine for a specific user on the web is still a challenge even for recommender systems today with social networks incorporated. Moreover, it is already promising since incorporating location in? It outlines the different approaches and compares them by means of specifically introduced dimensions, impact and limitations, and it also discusses evaluation metrics and methodologies that measure performances and attributes of these recommender systems.

The report ahmddi outlines the current ICT research environment in Kosovo, i.

Mathematics Genealogy Project

Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. It demonstrates how Biochemical Oxygen Demand observations are classified based on Water Framework Directive regulation standard and provide its eventual sources of pollution.

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Women in Science Day with the U. 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.

Lule Ahmedi

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. In this project, publication of open data of South East European University using Semantic Web and linked data technology is aimed.

Rector of University of Freiburg Prof. Software engineering, Professional practice internship. Initial assessment by students, their online feedback on the benefits of using such a tool to learn database ahmefi motivates the tool gets further maintained and advanced to meet the students’ needs on learning the topic through the tool. The seminar was organized by Prof. The Internet of Things IoT vision is to connect uniquely identifiable devices that surround us to the Internet, which is best described through ontologies.

A new master study program ahmevi been designed and implemented together with project partners, i. Invited lecture, master studies: Also, the way ontologies are annotated to hold such network-aware links along with semantic annotations is shown. Sweden, June – July The arrangements to finally signing the MoU, from drafting to its final version, were made possible for the University of Freiburg by Dr.

Lulf quality monitoring was used as a validation domain of the proposed system. 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.


The system features and challenges are discussed by also suggesting the potential directions of Semantic Web rule layer developments for reasoning with stream data.

Technical Program

The focus was on algorithms computing similarities between words. These latest technologies readily enable ahemdi 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. Dardan Shabani, we are conducting a research study related to query recommendation, i. Abstract Although Semantic Web builds on well-established foundations and we are witnessing its expansion across multiple domains, the kule has to-date been rather keen on building hybrid ontology-based water quality management systems.

Lule Ahmedi – Semantic Scholar

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. The system is validated in the water quality monitoring domain by demonstrating water bodies – classification zhmedi pollution sources investigation. 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.

Kosovo has a chance to improve the wellbeing of its citizens through technology-enabled industries and services.

Internet technologies, IT Project 2. In long terms, the cooperation aims to aid the Kosovo NPHI working with data from terrain through digitalization of their services, i. The architecture is validated by mean of three rich-in-semantic services: