Inproceedings167
Ontology-based Information Integration in the Automotive Industry
Ontology-based Information Integration in the Automotive Industry
Published: 2003
Buchtitel: Proceedings of the 2nd International Semantic Web Conference (ISWC2003), 20-23 October 2003, Sundial Resort, Sanibel Island, Florida, USA
Ausgabe: 2870
Reihe: LNCS
Seiten: 897-912
Verlag: Springer
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BibTeX
Kurzfassung
Information integration is still one of today's hottest IT topics.
Neither merging the information from different data sources nor
preparing it for the end user's access has been completely solved.
The goal of this paper is to present a holistic approach to
integration by using ontologies and logic. There are several
reasons for an ontology-based approach: Ontologies are able to
cover all occurring data structures, for ontologies can be seen as
nowadays most advanced knowledge representation model. They are
able to cover complexity, for the combination with deductive logic
extends the mapping and business logic capabilities. As the model
is separated from the data storage, we get a higher degree of
abstraction, whereby the semantics of the whole system is
increased. Ontologies are extendible and highly reusable and
deliver the user a better access to his relevant content.
In this paper we describe how current capabilities of knowledge
representation, mapping of structures and description of the
business logic are extended. In an elaborated case study of a
specific R&D process in the automobile industry we demonstrate
that the complex integration process can be realized much easier,
faster, more understandable and less expensive than before,
without changing the existing IT legacy environment.
ISBN: 3-540-20362-1
Download: Media:2003_167_Maier_Ontology-based__1.pdf
Weitere Informationen unter: Link
Wissensmanagementsysteme, Ontologiemodellierung, Ontology Engineering, Web Science, Ontologiebasierte Wissensmanagementsysteme