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Ontology mapping-based search with multidimensional similarity and Bayesian network

被引：3
作者：
Min Jung
Hong-Bae Jun
Kyun-Woo Kim
Hyo-Won Suh
机构：
[1] Department of Industrial Engineering,Department of Industrial and Information Engineering
[2] Hongik University,Department of Industrial Engineering
[3] Korea Advanced Institute of Science and Technology (KAIST),undefined
来源：
The International Journal of Advanced Manufacturing Technology | 2010年 / 48卷
关键词：
Ontology; Semantic mapping; Searching; Ontology similarity; Taxonomy; Bayesian network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Users in enterprise information systems want to efficiently search the information that they need. Although several searching approaches have been proposed so far, they still have the limitation in finding the semantically similar information that users need. To overcome the limitation, it is essential to consider the semantics of user keyword and terms (concepts) stored in the ontology repository and continuously update the ontology repository for information searching. To this end, in this study, an ontology mapping-based search methodology (OntSE) is proposed. The OntSE consists of three phases: ontology building, ontology mapping, and ontology updating. Its objective is to find the terms which have the same semantics with user’s keywords, based on multidimensional similarity and Bayesian network. To show the benefits of the proposed methodology, a case study has been carried out.
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页码：367 / 382
页数：15
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