Correspondence of Concept Hierarchies in Semantic Web Based upon Global Instances and its Application to Facility Management Database
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- Takahashi Hiroki
- Waseda University
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- Nishi Yuusuke
- Hitachi, Ltd.
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- Gion Tomohiro
- NIPPON TELEGRAPH AND TELEPHONE EAST CORPORATION
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- Minami Shinichi
- TOWA ENGINEERING CORPORATION
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- Fukunaga Tatsuya
- Asahi Kasei Engineering Corp.
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- Ogata Jiro
- Asahi Kasei Engineering Corp.
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- Yoshie Osamu
- Waseda University
Bibliographic Information
- Other Title
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- グローバルな事例に基づく概念階層対応付け手法と設備管理データベースへの適用
- グローバル ナ ジレイ ニ モトヅク ガイネン カイソウ タイオウ ヅケ シュホウ ト セツビ カンリ データベース エ ノ テキヨウ
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Abstract
Semantic Web is the technology which determines the relevance of data over the Web using meta-data and which enables advanced search of global information. It is now desired to develop and apply this technology to many situations of facility management. In facility management, vocabulary should be unified to share the database of facilities for generating optimal maintenance schedule and so on. Under such situations, ontology databases are usually used to describe composition or hierarchy of facility parts. However, these vocabularies used in databases are not unified even between factories of same company, and this situation causes communication hazard between them. Moreover, concept involved in the hierarchy cannot be corresponded each other. There are some methods to correspond concepts of different hierarchy. But these methods have some defects, because they only attend target hierarchy itself and the number of instances. We propose improved method for corresponding concepts between different concepts' hierarchies, which uses other hierarchies all over the world of Web and the distance of instances to identify their relations. Our method can work even if the sets of instances belonging to the concepts are not identical.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 126 (8), 1016-1025, 2006
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204603945472
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- NII Article ID
- 10018181937
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 8054457
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed