SemIndex:本体的有效索引机制

Vandana Dhingra, K. Bhatia
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引用次数: 2

摘要

为了使机器能够理解网页的语义,除了HTML、XML之外,还需要一种表示语言。语义Web允许使用RDF、OWL等不同的语言以良好定义的方式表示信息,这些语言增强了机器的推理能力,使内容可以机器解释。为这些表示语言检索到的web内容建立索引以实现有效的信息检索是研究的关键问题。本文对现有的RDF文档索引技术进行了比较分析。提出并实现了用RDF等语义Web语言表示的爬行本体的索引框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SemIndex: Efficient indexing mechanism for ontologies
To make machine understand the semantics of web page, there is need for representation language other than HTML, XML. Semantic Web, allows the information to be represented in well-defined manner using different languages like RDF, OWL which enhances the inference power of the machines, making the contents machine-interpretable. Indexing of the fetched web contents for these representation languages for effective information retrieval is the key issue of research. In this paper comparative analysis of existing indexing techniques for RDF documents is done. And framework is proposed and implemented for indexing crawled ontologies represented in Semantic Web Language like RDF language.
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