Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2010

Scheir Peter, Prettenhofer Peter, Lindstaedt Stefanie , Ghidini Chiara

An associative and adaptive network model for information retrieval in the Semantic Web

Progressive Concepts for Semantic Web Evolution: Applications and Developments, IGI Global, 2010

Buch
While it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem, this chapter investigates how to improve retrieval performance in settings where resources are sparsely annotated with semantic information. Techniques from soft computing are employed to find relevant material that was not originally annotated with the concepts used in a query. The authors present an associative retrieval model for the Semantic Web and evaluate if and to which extent the use of associative retrieval techniques increases retrieval performance. In addition, the authors present recent work on adapting the network structure based on relevance feedback by the user to further improve retrieval effectiveness. The evaluation of new retrieval paradigms - such as retrieval based on technology for the Semantic Web - presents an additional challenge since no off-the-shelf test corpora exist. Hence, this chapter gives a detailed description of the approach taken to evaluate the information retrieval service the authors have built.
2010

Stern Hermann, Kaiser Rene, Hofmair P., Lindstaedt Stefanie , Scheir Peter, Kraker Peter

Content Recommendation in APOSDLE using the Associative Network

Journal of Universal Computer Science, 2010

Journal
One of the success factors of Work Integrated Learning (WIL) is to provide theappropriate content to the users, both suitable for the topics they are currently working on, andtheir experience level in these topics. Our main contributions in this paper are (i) overcomingthe problem of sparse content annotation by using a network based recommendation approachcalled Associative Network, which exploits the user context as input; (ii) using snippets for notonly highlighting relevant parts of documents, but also serving as a basic concept enabling theWIL system to handle text-based and audiovisual content the same way; and (iii) using the WebTool for Ontology Evaluation (WTE) toolkit for finding the best default semantic similaritymeasure of the Associative Network for new domains. The approach presented is employed inthe software platform APOSDLE, which is designed to enable knowledge workers to learn atwork.
2010

Wagner C., Scheir Peter, Halb W., Stocker A.

Usage Restricted Linked Open Data - Towards Solving the Dilemma of Content Providers

Proceedings of 6th International Conference on Semantic Systems (I-SEMANTICS), 2010

Konferenz
2010

Scheir Peter, Stocker A.

Die Wertschöpfungskette der Daten: Eine Basis für zukünftige wirtschaftswissenschaftliche Betrachtungen des Web of Data

akzeptiert für: HMD Praxis der Wirtschaftsinformatik, dpunkt.verlag, 2010

Journal
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