| Authors: |
Kinga Schumacher
and Michael Sintek
and Leo Sauermann
|
| Editors: |
Sean Bechhofer
and Manfred Hauswirth
and Jörg Hoffmann
and Manolis Koubarakis
|
| URL: |
http://www.springerlink.com/content/a6683407861281q2/ |
| Tags: |
06
2008
dfki
imported
lang:en
wp2
|
| 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. |
@inproceedings{Schumacher+2008search,
title = {Combining Metadata and Document Search with Spreading Activation for Semantic Desktop Search},
author = {Kinga Schumacher and Michael Sintek and Leo Sauermann},
booktitle = {Proc. of ESWC},
editor = {Sean Bechhofer and Manfred Hauswirth and Jörg Hoffmann and Manolis Koubarakis},
month = {June},
pages = {569-583},
publisher = {Springer},
url = {http://www.springerlink.com/content/a6683407861281q2/},
year = {2008},
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.},
pdf = {Schumacher+2008search.pdf}, timestamp = {2007.12.17}, owner = {sauermann}, comment = {ISBN:978-3-540-68233-2}, doi = {10.1007/978-3-540-68234-9_42},
keywords = {06 2008 dfki imported lang:en wp2 }
}
::