基于本体的语义Web信息检索系统:语义Web挖掘

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI:10.1109/ICNGCIS.2017.21

Sunny Sharma, Arjun Kumar, V. Rana

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引用次数: 8

摘要

在本文中，我们提出了一个使用基于本体的方法从语义网检索信息的有效框架。目前的网络是由非结构化信息组成的，这些信息极难被搜索引擎检索到。语义网通过利用网络上的本体，使信息机器易于理解，从而有效地被搜索引擎检索，从而掩盖了这一缺陷。

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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Ontology Based Informational Retrieval System on the Semantic Web: Semantic Web Mining

In this manuscript we are presenting an efficient framework for retrieving the information from the Semantic Web using an Ontology-based approach. The present web is comprised of unstructured information which is extremely difficult to be retrieved by the search engine. The semantic web covers up this bug by exploiting the ontologies on the web and making the information machine understandable to be effectively retrieved by the search engine.

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2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS)

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