DocumentCode :
3222156
Title :
Domain ontology construction based on semantic relation information of terminology
Author :
Lim, Soo-Yeon ; Song, Mu-Hee ; Son, Ki-Jun ; Lee, Sang-Jo
Author_Institution :
Dept. of Comput. Eng., Kyungpook Nat. Univ., Daegu, South Korea
Volume :
3
fYear :
2004
fDate :
2-6 Nov. 2004
Firstpage :
2213
Abstract :
Ontology is an explicit specification of a conceptualization. That is, ontology is a description of the concepts and relationships that can exist for an agent or a community of agents. This study suggests a method of constructing domain ontology using terminology processing and applies the method to document retrieval. In order to construct ontology, if proposes an algorithm that classifies the patients of nouns and suffices which compose terminology, in domain texts, extracts terminology, and build a hierarchical structure. The experiment used documents related to pharmacy, and the algorithm showed accuracy of 92.57% for singleton terms and 66.64% for multi-word terms on the average. Constructed ontology, which forms natural groups of senses centering on specific nouns or suffices composing the terminology with semantic information, can be utilized in approaching the knowledge of special areas such as document retrieval. According to the result of document retrieval based on the constructed ontology, the system improved in precision and recall compared to traditional keyword-based document retrieval.
Keywords :
classification; information retrieval; multi-agent systems; nomenclature; ontologies (artificial intelligence); semantic Web; domain ontology construction; explicit specification; hierarchical structure; keyword-based document retrieval; multi-word term; patient; semantic relation information; singleton term; terminology processing; Costs; Data mining; Dictionaries; Ontologies; Pattern analysis; Scalability; Semantic Web; Terminology; Text mining; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
Type :
conf
DOI :
10.1109/IECON.2004.1432142
Filename :
1432142
Link To Document :
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