BibSonomyburst/bibtex/1a33fec4d197b7212c9bfa6801f478853BibSonomy RSS feed for /bibtex/1a33fec4d197b7212c9bfa6801f4788532012-02-17T15:55:38+01:00http://www.bibsonomy.org/bibtex/2d169dcb04daa8b91869a792a9248ff81/nepomuknepomuk2008-06-18T21:26:52+02:0006 2008 dfki from:leobard imported lang:en wp2 <span class="authorEditorList"><a href="/author/Schuhmacher">Kinga Schuhmacher</a>, <a href="/author/Sintek">Michael Sintek</a>, and <a href="/author/Sauermann">Leo Sauermann</a> </span><em>Proc. of ESWC, </em><em>page 569-583. </em><em>Springer, </em>(<em>June 2008</em>)Wed Jun 18 21:26:52 CEST 2008Proc. of ESWCJune569-583Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search200806 2008 dfki from:leobard imported lang:en wp2 The Semantic Desktop is a means to support users in Personal Information Management (PIM). It provides an excellent test bed for Semantic Web technology: resources (e. g., persons, projects, messages, documents) are distributed amongst multiple systems, ontologies are used to link and annotate them. Finding information is a core element in PIM. For the end user, the search interface has to be intuitive to use, natural language queries provide a simple mean to express requests. State of the art semantic search engines focus on fact retrieval or on semantic document retrieval. We combine both approaches to search the Semantic Desktop exploiting all available information. Our semantic search engine, built on semantic teleporting and spreading activation, is able to answer natural language queries with facts, e. g., a specific phone number, and/or relevant documents. We evaluated our approach on ESWC 2007 data in comparison with Google site search.