Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search

Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search (2008)

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by Yoshinobu Kitamura , Sho Segawa , Munehiko Sasajima , Shinya Tarumi , Riichiro Mizoguchi

Venue:	In Proc. of the 3rd Asian Semantic Web Conference (ASWC 2008), LNCS 5367
Citations:	2 - 2 self

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Datum	Value	Source
TITLE	Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search	SVM HeaderParse 0.2
AUTHOR NAME	Yoshinobu Kitamura	SVM HeaderParse 0.2
AUTHOR AFFIL	The Institute of Scientific and Industrial Research, Osaka University	SVM HeaderParse 0.2
AUTHOR ADDR	8-1, Mihogaoka, Ibaraki, Osaka, Japan	SVM HeaderParse 0.2
AUTHOR NAME	Sho Segawa	SVM HeaderParse 0.2
AUTHOR AFFIL	The Institute of Scientific and Industrial Research, Osaka University	SVM HeaderParse 0.2
AUTHOR ADDR	8-1, Mihogaoka, Ibaraki, Osaka, Japan	SVM HeaderParse 0.2
AUTHOR NAME	Munehiko Sasajima	SVM HeaderParse 0.2
AUTHOR AFFIL	The Institute of Scientific and Industrial Research, Osaka University	SVM HeaderParse 0.2
AUTHOR ADDR	8-1, Mihogaoka, Ibaraki, Osaka, Japan	SVM HeaderParse 0.2
AUTHOR NAME	Shinya Tarumi	SVM HeaderParse 0.2
AUTHOR AFFIL	The Institute of Scientific and Industrial Research, Osaka University	SVM HeaderParse 0.2
AUTHOR ADDR	8-1, Mihogaoka, Ibaraki, Osaka, Japan	SVM HeaderParse 0.2
AUTHOR NAME	Riichiro Mizoguchi	SVM HeaderParse 0.2
AUTHOR AFFIL	The Institute of Scientific and Industrial Research, Osaka University	SVM HeaderParse 0.2
AUTHOR ADDR	8-1, Mihogaoka, Ibaraki, Osaka, Japan	SVM HeaderParse 0.2
ABSTRACT	Abstract. This paper discusses ontology mapping between two taxonomies of functions of artifacts for the engineering knowledge management. The mapping is of two ways and has been manually established with deep semantic analysis based on a reference ontology of function for bridging the ontological gaps between the taxonomies. We report on the successful results thanks to such deep analysis not at the lexical level but at the ontological level. Using the mapping knowledge, we developed a semantic search system which can provide engineers with interoperable access to technical documents by searching for functional metadata based on either of functional taxonomies.	SVM HeaderParse 0.2
YEAR	2008	INFERENCE
VENUE	In Proc. of the 3rd Asian Semantic Web Conference (ASWC 2008), LNCS 5367	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	137--151	INFERENCE
CITATIONS	32 found	ParsCit 1.0