Generating domain specific ontology for retrieving Hidden Web contents

Manvi, A. Dixit, K. Bhatia, Bhumika Wadhwa
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引用次数: 3

Abstract

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.
生成用于检索隐藏Web内容的特定领域本体
互联网上的大量信息只有在用户键入搜索关键字集以获取结果页面时才可用。这些页面通常被称为隐藏的网络。想要检索这些隐藏信息的组件,如隐藏Web爬虫,必须自动填充搜索界面。为了自动填充这些类型的接口,需要精确和相关的信息。存储对象及其关系的语义信息的数据库可以解决这个问题。该数据库可以借助本体定义通用词汇表进行定义。这里介绍的工作主要集中在为检索隐藏的Web内容生成特定领域的本体。本文利用proprosamadgase建立了图书领域的知识库。所有信息以RDF三元组的形式存储为知识库。此知识库可用于自动填充检索隐藏Web数据的搜索界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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