Deep Semantic Integration for Information System

Zhenxin Qu, Shengqun Tang
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引用次数: 2

Abstract

When applied semantic integration technology to databases, common method is to rewrite semantic query into SQL statements, while only RDFs vocabularies are supported at most. Semantics having been realized is weak. A more perfect algorithm inherited from the idea of rewriting semantic query is proposed, a sub set of OWL is supported, and semantics having been supported is more deep than ever. Ontology and query all are transformed into graphs, semantic match is done. Applying breadth-first search on match result, SQL statements will be generated. A case is designed to exemplify it, which shows that some OWL constructors have been supported.
面向信息系统的深度语义集成
在将语义集成技术应用于数据库时,常见的方法是将语义查询重写为SQL语句,最多只支持rdf词汇表。已经实现的语义是弱的。提出了一种继承语义查询重写思想的更完善的算法,支持OWL子集,语义支持比以往更深入。将本体和查询都转换成图形,进行语义匹配。对匹配结果应用广度优先搜索,将生成SQL语句。设计了一个案例来举例说明它,它显示了一些OWL构造函数已经得到支持。
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