A HYBRID METHOD FOR INTEGRATING MULTIPLE ONTOLOGIES

被引:34
|
作者
Duong, Trong Hai [1 ]
Nguyen, Ngoc Thanh [2 ]
Jo, Geun Sik
机构
[1] Inha Univ, Sch Comp & Informat Engn, Intelligent E Commerce Syst Lab, Inchon, South Korea
[2] Wroclaw Univ Technol, Inst Comp Sci, PL-50370 Wroclaw, Poland
关键词
D O I
10.1080/01969720802634055
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
While there has been a variety of research focusing on ontology integration based on simple techniques (e.g., element- or structure-level techniques), the hybrid approaches combining the simple techniques have not been explored. In this paper we describe a hybrid method to integrate multiple ontologies in several levels, such as the element level, internal structure, and relational structure. A semantic supporting environment (SSE) combining special domains (e.g., WordNet) and text corpus are defined in the proposed approach. An enriched ontology model (EOM) has been proposed to reduce the initial complexity of the process of ontology integration. Subsequently, the semantic network called OnConceptSNet is provided. The relations between the concepts in the OnConceptSNet are derived from the SSE. An enhanced algorithm (EA) has been proposed to enhance OnConceptSNet.
引用
收藏
页码:123 / 145
页数:23
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