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Latif A., Afzal M. T., Us Saeed A., Höfler Patrick

Harvesting Pertinent Resources from Linked Open Data

Journal of Digital Information Management, 2010

Linked Open Data (LOD) is becoming an essentialpart of the Semantic Web. Although LOD has amassed largequantities of structured data from diverse, openly availabledata sources, there is still a lack of user-friendly interfaces andmechanisms for exploring this huge resource. In this paper, wedescribe a methodology for harvesting relevant information fromthe gigantic LOD cloud. The methodology is based on combinationof information: identification, extraction, integration andpresentation. Relevant information is identified by using a setof heuristics. The identified information resource is extracted byemploying an intelligent URI discovery technique. The extractedinformation is further integrated with the help of a Concept AggregationFramework. Then the information is presented to endusers in logical informational aspects. Thereby, the proposedsystem is capable of hiding complex underlying semantic mechanicsfrom end users and reducing the users’ cognitive loadin locating relevant information. In this paper, we describe themethodology and its implementation in the CAF-SIAL system,and compare it with the state of the art

Latif A., Afzal M. T., Us Saeed A., Höfler Patrick

CAF-SIAL: Concept Aggregation Framework for Structuring Informational Aspects of Linked Open Data

Proceedings of the First International Conference on Networked Digital Technologies (NDT 2009), 2009


Latif A., Afzal M. T., Höfler Patrick, Us Saeed A.

Turning Keywords into URIs: Simplified User Interfaces for Exploring Linked Data

ACM Proceeding of ICIS 2009. ISBN: 978-1-60558-710-3, 2009

The Semantic Web strives to add structure and meaning to the Web, thereby providing better results and easier interfaces for its users. One important foundation of the Semantic Web is Linked Data, the concept of interconnected data, describing resources by use of RDF and URIs. Linked Data (LOD) provides the opportunity to explore and combine datasets on a global scale -- something which has never been possible before. However, at its current stage, the Linked Data cloud yields little benefit for end users who know nothing of ontologies, triples and SPARQL. This paper presents an intelligent technique for locating desired URIs from the huge repository of Linked Data. Search keywords provided by users are utilized intelligently for locating the intended URI. The proposed technique has been applied in a simplified end user interface for LOD. The system evaluation shows that the proposed technique has reduced user's cognitive load in finding relevant information.

Afzal M. T., Latif A., Us Saeed A., Sturm P., Aslam S., Andrews K., Maurer H.

Discovery and Visualization of Expertise in a Scientific Community

Proceedings of the International Conference on Frontiers of Information Technology (FIT 2009), 2009

In numerous contexts and environments, it is necessary to identify and assign (potential) experts to subject fields. In the context of an academic journal for computer science (J.UCS), papers and reviewers are classified using the ACM classification scheme. This paper describes a system to identify and present potential reviewers for each category from the entire body of paper’s authors. The topical classification hierarchy is visualized as a hyperbolic tree and currently assigned reviewers are listed for a selected node (computer science category). In addition, a spiral visualization is used to overlay a ranked list of further potential reviewers (high-profile authors) around the currently selected category. This new interface eases the task of journal editors in finding and assigning reviewers. The system is also useful for users who want to find research collaborators in specific research areas.

Us Saeed A., Afzal M. T., Latif A., Stocker A.

Does Tagging Indicate Knowledge Diffusion? An Exploratory Case Study

Proceedings of the ICCIT 08 - International Conference on Convergence and hybrid Information Technology, Busan, Korea, 2008, 2008

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