DocumentCode :
569306
Title :
Improving the formal concept analysis algorithm to construct domain ontology
Author :
Ta, Chien Duy Cong ; Thi, Tuoi Phan
Author_Institution :
Fac. of Comput. Sci. & Eng., HoChiMinh City Univ. of Technol., Ho Chi Minh City, Vietnam
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
74
Lastpage :
78
Abstract :
Although with different purposes, both Domain Ontology and Formal Concept Analysis (FCA) are models used to present modeling concepts. FCA uses a lattice in mathematics to present concepts based on objects and attributes, whereas domain Ontology also presents concepts and is used in various areas, e.g., biology, information retrieval, information extraction, etc. In this article we propose a method to build Domain Ontology based on FCA in order to support the information extraction task on a specified domain.
Keywords :
formal concept analysis; ontologies (artificial intelligence); FCA; attributes; biology; domain ontology; formal concept analysis algorithm; information extraction; information retrieval; modeling concepts; objects; Knowledge engineering; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on
Conference_Location :
Danang
Print_ISBN :
978-1-4673-2171-6
Type :
conf
DOI :
10.1109/KSE.2012.42
Filename :
6299401
Link To Document :
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