DocumentCode
2732727
Title
Automatic Ontology Constructor for Indonesian Language
Author
Virginia, Gloria ; Son, Nguyen Hung
Author_Institution
Fac. of Math., Inf., & Mech., Univ. of Warsaw, Warsaw, Poland
Volume
3
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
440
Lastpage
443
Abstract
Rich information is scattered under Indonesian Choral Lovers (ICL) mailing list and many of its members prefer posting a query-mail to using the available search engine. A text retrieval system based on ontology is then proposed. However, considering the continual number of emails, developing an automatic ontology constructor (OC) will be the focus of the study while the retrieval system becomes an evaluation tool of the OC developed. Besides using 3,000 emails of ICL as the corpus, this study is challenging for it takes a cognitive approach as the heart of the process and employs Linear Model known in Expert System field as the system life cycle. The effectiveness of OC will be determined based on the automatic-thesaurus effectiveness. Performance measure of information retrieval is going to be computed in technical evaluation while qualitative measures of ontology (consistency, completeness, and conciseness) are going to be used in user´s evaluation.
Keywords
cognitive systems; electronic mail; expert systems; natural language processing; ontologies (artificial intelligence); query processing; search engines; text analysis; thesauri; Indonesian Choral Lover mailing list; Indonesian language; automatic ontology constructor; automatic thesaurus effectiveness; cognitive approach; expert system; information retrieval; linear model; query mail; search engine; system life cycle; text retrieval system; Conferences; Electronic mail; Information retrieval; Natural languages; Ontologies; Semantics; Thesauri; Ontology; information retrieval system; thesaurus;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-8482-9
Electronic_ISBN
978-0-7695-4191-4
Type
conf
DOI
10.1109/WI-IAT.2010.122
Filename
5614110
Link To Document