A Preliminary Study on Semi-automatic Construction of Vietnamese Ontology

被引:0
|
作者
Bao An Nguyen [1 ]
Yang, Don-Lin [1 ]
机构
[1] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
来源
2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2011年
关键词
Ontology; concept discovery; conceptual relation; text mining; lexical pattern;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering and information retrieval. Typically, ontologies are constructed by domain experts using domain knowledge and domain documents. However, manual acquisition of ontologies from domain documents consumes high costs. We present a support system for Vietnamese ontology construction using pattern-based mechanisms of discovering Vietnamese concepts and conceptual relations from Vietnamese text documents. As there are very few existing taxonomies constructed in Vietnamese, we use non-taxonomy based approach. The combination of association rule mining and lexical pattern based learning was used as our major method of concept extraction and conceptual relation detection. From the experiments, we show that this is a feasible solution.
引用
收藏
页码:3403 / 3408
页数:6
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