DocumentCode
3592412
Title
Conceptual similarity measurement of term based on domain thesaurus
Author
Qiu, Hong-jun ; Yu, Wen-jing
Author_Institution
Sch. of Eng., Shantou Univ., Shantou
Volume
5
fYear
2008
Firstpage
2519
Lastpage
2523
Abstract
People can retrieve synonyms properly, but this tends to be loose, even in the crucially synonym-oriented systems. Domain terms can be regarded as specialized synonyms with their definitions, this paper attempts to make conceptual similarity of term measurable so as to push information retrieval and knowledge engineering in domain-specific. In the full paper, one domain thesaurus model in well-constructed conceptual classification is presented, which makes terms measurable and is universal and available in many domains; based on this model, several conceptual similarity measurement strategies are designed, which can calculate the conceptual similaritypsilas score of term; the experiment on material domain thesaurus shows that the proposed methodology can measure conceptual similarity of term effectively.
Keywords
classification; information retrieval; knowledge engineering; text analysis; thesauri; conceptual classification; conceptual similarity measurement; domain thesaurus; information retrieval; knowledge engineering; synonym-oriented system; Building materials; Chromium; Composite materials; Cybernetics; Engines; Knowledge engineering; Machine learning; Steel; Thesauri; Trademarks; Conceptual similarity; Domain thesaurus; Measurement strategy; Term;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620832
Filename
4620832
Link To Document