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Query Processing Using Ontologies

机译:使用本体进行查询处理

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摘要

Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for complex problems caused by the lack of a good understanding of the semantics of data in many cases. In particular, ontologies have extensively been used to overcome the interoperability problem during the integration of heterogeneous information sources. Moreover, many efforts have been put into developing ontology based techniques for improving the query answering process in database and information systems. In this paper, we present a new approach for query processing within single (object) relational databases using ontology knowledge. Our goal is to process database queries in a semantically more meaningful way. In fact, our approach shows how an ontology can be effectively exploited to rewrite a user query into another one such that the new query provides more meaningful results satisfying the intention of the user. To this end, we develop a set of transformation rules which rely on semantic information extracted from the ontology associated with the database. In addition, we propose a semantic model and a set of criteria to prove the validity of the transformation results. We also address the necessary mappings between an ontology and its underlying database w.r.t. our framework.
机译:最近,数据库和AI研究界已经越来越关注本体。主要原因是本体论在许多情况下都希望解决由于缺乏对数据语义的良好理解而导致的复杂问题。特别是,本体已被广泛用于克服异构信息源集成过程中的互操作性问题。此外,已经进行了很多努力来开发基于本体的技术,以改善数据库和信息系统中的查询回答过程。在本文中,我们提出了一种使用本体知识在单(对象)关系数据库中进行查询处理的新方法。我们的目标是以语义上更有意义的方式处理数据库查询。实际上,我们的方法显示了如何有效利用本体将用户查询重写为另一个查询,以便新查询提供满足用户意图的更有意义的结果。为此,我们开发了一组转换规则,这些规则依赖于从与数据库关联的本体中提取的语义信息。此外,我们提出了语义模型和一组标准来证明转换结果的有效性。我们还解决了本体与其基础数据库之间的必要映射。我们的框架。

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