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Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search

by: Kinga Schuhmacher, Michael Sintek, and Leo Sauermann

In: Proc. of ESWCSpringer (June 2008) , p. 569-583.

Resources (URL, PDF, PS...)

URL:	http://www.springerlink.com/content/a6683407861281q2/
DOI:	10.1007/978-3-540-68234-9_42

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.

BibTeX record

@inproceedings{Schumacher+2008search,
  abstract = {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.},
  added-at = {2008-06-18T21:26:52.000+0200},
  author = {Schuhmacher, Kinga and Sintek, Michael and Sauermann, Leo},
  biburl = {http://www.bibsonomy.org/bibtex/2d169dcb04daa8b91869a792a9248ff81/nepomuk},
  booktitle = {Proc. of ESWC},
  comment = {ISBN:978-3-540-68233-2},
  doi = {10.1007/978-3-540-68234-9_42},
  editor = {Bechhofer, Sean and Hauswirth, Manfred and Hoffmann, Jörg and Koubarakis, Manolis},
  interhash = {a33fec4d197b7212c9bfa6801f478853},
  intrahash = {d169dcb04daa8b91869a792a9248ff81},
  keywords = {06 2008 dfki from:leobard imported lang:en wp2},
  month = {June},
  owner = {sauermann},
  pages = {569-583},
  pdf = {Schumacher+2008search.pdf},
  publisher = {Springer},
  timestamp = {2008-06-18T21:26:52.000+0200},
  title = {Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search},
  url = {http://www.springerlink.com/content/a6683407861281q2/},
  year = 2008
}

Endnote record

%0 Conference Paper
%1 Schumacher+2008search
%A Schuhmacher, Kinga
%A Sintek, Michael
%A Sauermann, Leo
%B Proc. of ESWC
%D 2008
%E Bechhofer, Sean
%E Hauswirth, Manfred
%E Hoffmann, Jörg
%E Koubarakis, Manolis
%I Springer
%K 
%P 569-583
%T Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search
%R 10.1007/978-3-540-68234-9_42
%U http://www.springerlink.com/content/a6683407861281q2/
%X 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.

BibSonomy :: publication ::

Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record