A Network Model Approach to Retrieval in the Semantic Web

A Network Model Approach to Retrieval in the Semantic Web

Peter Scheir (Graz University of Technology and Know-Center Graz, Austria), Stefanie N. Lindstaedt (Know-Center Graz and Graz University of Technology,Austria) and Chiara Ghidini (Fondazione Bruno Kessler, Italy)
Copyright: © 2008 |Pages: 29
DOI: 10.4018/jswis.2008100103
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

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, we investigate 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. We present an associative retrieval model for the Semantic Web and evaluate if and to what extent the use of associative retrieval techniques increases retrieval performance. 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, we give a detailed description of the approach taken to evaluate the information retrieval service we have built.

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing