Home // SEMAPRO 2010, The Fourth International Conference on Advances in Semantic Processing // View article

Search and Navigation in Semantically Integrated Document Collections

Authors:
Sasa Nesic
Fabio Crestani
Mehdi Jazayeri
Dragan Gasevic

Keywords: search, semantic linking and navigation

Abstract:
The paper presents a novel approach to semantic search and navigation in office-like document collections. The approach is based on a semantic document model that we have developed to enable unique identification, semantic annotation, and semantic linking of document units of officelike documents. In order to semantically annotate document units and to link semantically related document units, we first conceptualize document units’ semantics and represent them by vectors of ontological concepts and their corresponding weight vectors. In the semantic search, we represent a user query by a query’s concept vector, which is generated in the same way as document units’ concept vectors, and then determine the search results by measuring the similarity between the query’s and the document units’ concept weight vectors. After the search, by following the semantic links of a selected document unit, the user can navigate through the document collection and discover semantically related document units. Results of the preliminary evaluation, conducted with a prototype implementation, are promising. We present a brief analysis of these results.

Pages: 55 to 60

Copyright: Copyright (c) IARIA, 2010

Publication date: October 25, 2010

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-104-5

Location: Florence, Italy

Dates: from October 25, 2010 to October 30, 2010