Informationsmanagement auf der Basis von Semantic-Web Techniken oder ein Google für Entwickler

Authors: Bruno Thelen and Neyir Sevilmis and André Stork and Rui Castro and Iván Jiménez and Gorka Marcos and Jorge Posada and Tim Smithers and Marco Mauri and Massimiliano Pianciamore and Paolo Selvini and Vincenzo Zecchino

Date: 16.06.2005


Abstract

Information retrieval often suffers from the lack of suitable search tools or the query complexity. The search of some concrete information on the base of file names or the coincidental occurrence of key words in files is little helpful because the obtainable matches are too much subject to chance. Therefore an effective search must be based on the semantic interpretation of the query and additionally casts of the query into the context of an application domain. Here the development of the search machine prototype WIDE is presented, which builds up the query interpretation on Semantic Web techniques. The search machine can be configured for application domains and is able to map a query to different data sources in parallel. The search machine processes the retrieved results graphically and associates the concepts used in the Query with thematically related concepts. The search machine can be used to retrieve text documents or test bed results of experiments archived in ASAMODS data sources.

BIB_text

@Article {
author = {Bruno Thelen and Neyir Sevilmis and André Stork and Rui Castro and Iván Jiménez and Gorka Marcos and Jorge Posada and Tim Smithers and Marco Mauri and Massimiliano Pianciamore and Paolo Selvini and Vincenzo Zecchino},
title = {Informationsmanagement auf der Basis von Semantic-Web Techniken oder ein Google für Entwickler},
pages = {167-180},
keywds = {
information management, Information sharing, semantic web, search engine
}
abstract = {
Information retrieval often suffers from the lack of suitable search tools or the query complexity. The search of some concrete information on the base of file names or the coincidental occurrence of key words in files is little helpful because the obtainable matches are too much subject to chance. Therefore an effective search must be based on the semantic interpretation of the query and additionally casts of the query into the context of an application domain. Here the development of the search machine prototype WIDE is presented, which builds up the query interpretation on Semantic Web techniques. The search machine can be configured for application domains and is able to map a query to different data sources in parallel. The search machine processes the retrieved results graphically and associates the concepts used in the Query with thematically related concepts. The search machine can be used to retrieve text documents or test bed results of experiments archived in ASAMODS data sources.
}
date = {2005-06-16},
year = {2005},
}
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