DocumentCode :
3229392
Title :
SeseiOnto: Interfacing NLP and Ontology Extraction
Author :
Morneau, Maxime ; Mineau, Guy W. ; Corbett, Dan
Author_Institution :
Departement d´´Informatique et de Genie Logiciel, Laval Univ., Que.
fYear :
2006
fDate :
18-22 Dec. 2006
Firstpage :
449
Lastpage :
455
Abstract :
For many years, information retrieval tools have been used to try to solve the information overload problem which was accentuated by the coming of age of the World Wide Web. Some tools used Boolean search, others, natural language based processing (NLP). Ontology-based techniques were proposed to improve the quality of the search but none were widely adopted since they did not statistically enhance either the recall or the precision of the search. However, when it comes to information extraction, they may be of significant help. Their integration in professional search engines has been rather slow, partially due to the fact that the ontology building process is time consuming. In this paper, we describe the SeseiOnto software, which uses simple artificial intelligence techniques to improve information extraction and retrieval. To assist the NLP-based information retrieval on a corpus of documents, SeseiOnto employs an automatically generated ontology. Under our experiments, we found that SeseiOnto obtained results comparable to a traditional search engine, while providing a natural language interface to its user
Keywords :
natural language interfaces; natural language processing; ontologies (artificial intelligence); query formulation; search engines; NLP; SeseiOnto software; World Wide Web; artificial intelligence technique; information extraction; information overload problem; information retrieval tools; natural language interface; natural language processing; ontology extraction; search engines; Artificial intelligence; Cities and towns; Data mining; Information retrieval; Natural language processing; Natural languages; Ontologies; Search engines; Testing; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
Type :
conf
DOI :
10.1109/WI.2006.158
Filename :
4061410
Link To Document :
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