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Learning ontologies to improve the quality of automatic web service matching
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International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents
Banff, Alberta, Canada
POSTER SESSION: Semantic web table of contents
Pages: 1241 - 1242  
Year of Publication: 2007
ISBN:978-1-59593-654-7
Authors
Hui Guo  Stony Brook University, Stony Brook, NY
Anca Andreea Ivan  IBM T.J. Watson Research Center, Hawthorne, NY
Rama Akkiraju  IBM T.J. Watson Research Center, Hawthorne, NY
Richard Goodwin  IBM T.J. Watson Research Center, Hawthorne, NY
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
E. Agirre, O. Ansa, E. Hovy, and D. Martinez. Enriching very large ontologies using the WWW. In Proceedings of the Workshop on Ontology Construction of the European Conference of AI (ECAI00), 2000.
 
2
X. Dong, A. Halevy, J. Madhavan, E. Nemes, and J. Zhang. Similarity search for web services. In Proceedings of VLDB, 2004.
 
3
A. Faatz and R. Steinmetz. Ontology enrichment with texts from the WWW. In Semantic Web Mining 2nd Workshop at ECML/PKDD2002, 2002.
 
4
A. Hess and N. Kushmerick. Learning to attach semantic metadata to web services. In Proceedings of 2nd International Semantic Web Conference (ISWC2003), 2003.
 
5
J. Jannink. Thesaurus entry extraction from an online dictionary. In Proceedings of Fusion '99, 1999.
 
6
P. Y. Glossont: A concept focussed ontology building tool. In Knowledge Representation Conference. 2004.

Collaborative Colleagues:
Hui Guo: colleagues
Anca Andreea Ivan: colleagues
Rama Akkiraju: colleagues
Richard Goodwin: colleagues