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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/39188

Title: Cross-Lingual Ontology Mapping and Its Use on the Multilingual Semantic Web
Other Titles: 1st Workshop on the Multilingual Semantic Web, at the 19th International World Wide Web Conference (WWW 2010)
Author: BRENNAN, ROB
O'SULLIVAN, DECLAN
FU, BO
Sponsor: Science Foundation Ireland
Author's Homepage: http://people.tcd.ie/bofu
http://people.tcd.ie/rbrenna
http://people.tcd.ie/osulldps
http://people.tcd.ie/bofu
Keywords: Cross-Lingual Ontology Mapping
Appropriate Ontology Label Translation
Matching Assessment Feedback
Querying of Multilingual Knowledge Repositories
Issue Date: 2010
Citation: Fu B., Brennan R., O'Sullivan D., Cross-Lingual Ontology Mapping and Its Use on the Multilingual Semantic Web, 1st Workshop on the Multilingual Semantic Web, at the 19th International World Wide Web Conference (WWW 2010), Raleigh, USA, April 27th, 2010, Buitelaar P., Cimiano P., Montiel-Ponsoda E., , CEUR Vol.571, 2010, 13 - 20
Series/Report no.: CEUR Vol.571
Abstract: Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across natural language barriers has become a pressing issue for the multilingual semantic web. In this paper, a semantic-oriented cross-lingual ontology mapping (SOCOM) framework is proposed to enhance interoperability of ontology-based systems that involve multilingual knowledge repositories. The contribution of cross-lingual ontology mapping is demonstrated in two use case scenarios. In addition, the notion of appropriate ontology label translation, as employed by the SOCOM framework, is examined in a cross-lingual ontology mapping experiment involving ontologies with a similar domain of interest but labelled in English and Chinese respectively. Preliminary evaluation results indicate the promise of the cross-lingual mapping approach used in the SOCOM framework, and suggest that the integrated appropriate ontology label translation mechanism is effective in the facilitation of monolingual matching techniques in cross-lingual ontology mapping scenarios.
Description: PUBLISHED
Raleigh, USA
URI: http://hdl.handle.net/2262/39188
Related links: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-571/paper3.pdf
Appears in Collections:Computer Science (Scholarly Publications)

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