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Generating domain specific ontology for retrieving Hidden Web contents

机译:生成特定于域的本体以检索隐藏的Web内容

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Tremendous information present on the Internet is available only when the user type set of keywords for search for getting the result pages. Those pages are often referred as Hidden Web. The components like hidden Web crawler which wants to retrieve this hidden information has to fill the search interfaces automatically. For automatically filling these types of interfaces precise and relevant information is needed. A database that stores semantic information about objects and their relations may solve this purpose. This database can be defined with the help of Ontology defines common vocabulary. The work presented here mainly focuses on generating domain specific ontology for retrieving hidden Web contents. In this paper a knowledge base of Book domain has created using Protégé. All information stores as knowledge base in form of RDF triples <;subject predicate object>. This Knowledge base may be used in automatically filling up search interfaces for retrieving hidden Web data.
机译:仅当用户键入一组用于搜索以获取结果页面的关键字时,Internet上存在的大量信息才可用。这些页面通常称为“隐藏的网页”。想要检索此隐藏信息的组件(如隐藏的Web爬网程序)必须自动填充搜索界面。为了自动填充这些类型的界面,需要精确且相关的信息。存储有关对象及其关系的语义信息的数据库可以解决此目的。可以在本体定义常用词汇的帮助下定义该数据库。这里介绍的工作主要集中在生成特定于域的本体以检索隐藏的Web内容。本文使用Protégé创建了Book域的知识库。所有信息都以RDF三元组<;主题谓词对象>的形式存储为知识库。该知识库可用于自动填充用于检索隐藏的Web数据的搜索界面。

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