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Semantic - Based Querying Using Ontology in Relational Database of Library Management System

机译:图书馆管理系统关系数据库中基于本体的语义查询。

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The traditional Web stores huge amount of data in the form of Relational Databases (RDB) as it is good at storing objects and relationships between them. Relational Databases are dynamic in nature which allows bringing tables together helping user to search for related material across multiple tables. RDB are scalable to expand as the data grows. The RDB uses a Structured Query Language called SQL to access the databases for several data retrieval purposes. As the world is moving today from the Syntactic form to Semantic form and the Web is also taking its new form of Semantic Web. The Structured Query of the RDB on web can be a Semantic Query on Semantic Web. The SPARQL is the Query Language recommended by W3C for the RDF(Resource Description Framework). RDF is a directed, labeled graph data format for representing information in the Web and is a very important layer of the Semantic Web Architecture. In this paper we consider the Library Management System (LMS) database, taking some tuples of the LMS Relational Schema. We discuss how the RDF code is scripted and validated using RDF Validator and how RDF Triples are generated. Later we give the graphical representation of the RDF triples and see the process of extracting ontology from the RDF Schema and application of the Semantic Query.
机译:传统的Web以关系数据库(RDB)的形式存储大量数据,因为它擅长存储对象及其之间的关系。关系数据库本质上是动态的,它允许将表放在一起,从而帮助用户在多个表中搜索相关资料。 RDB具有可伸缩性,可以随着数据的增长而扩展。 RDB使用一种称为SQL的结构化查询语言来访问数据库,以用于多种数据检索目的。随着当今世界从句法形式向语义形式的转变,Web也正采用其语义形式的新形式。 Web上的RDB的结构化查询可以是语义Web上的语义查询。 SPARQL是W3C为RDF(资源描述框架)推荐的查询语言。 RDF是一种有向标记的图形数据格式,用于表示Web中的信息,并且是语义Web体系结构中非常重要的一层。在本文中,我们考虑了图书馆管理系统(LMS)数据库,并采用了LMS关系模式的一些元组。我们讨论了如何使用RDF Validator编写和验证RDF代码以及如何生成RDF Triple。稍后,我们给出RDF三元组的图形表示,并查看从RDF Schema中提取本体的过程以及语义查询的应用。

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