文章基本信息

标题：SEMANTIC SCHEMA MATCHING APPROACHES: A REVIEW
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作者：JAFREEN HOSSAIN ; NOR FAZLIDA MOHD SANI ; LILLY SURIANI AFFENDEY 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：62
期号：1
出版社：Journal of Theoretical and Applied
摘要：An extensive review of the existing research work in the field of schema matching uncovers the significance of semantics in this subject. It is beyond doubt that both structural and semantics aspect of schema matching have been the topic of research for many years and there are strong references available for both. However, an in-depth analysis of all the available approaches suggests there are further scopes for improvement in the field of semantic schema matching. Normalization and lexical annotation methods using WordNet have been proposed in several studies, but the level of matching accuracy in those studies have not yet reached a point that can encourage full automation of schema matching in commercial use. This paper lists out several possible future work based on the existing limitations.
关键词：Database Integration; Schema Matching; Data Heterogeneity; Semantic Schema Matching; Schema Label Normalization; Stop-Words