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An analysis of semantic heterogeneity issues and their countermeasures prevailing in semantic web

机译:语义网中语义异质性问题的分析及对策

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摘要

Nowadays, wisdom information retrieval system is available on the web, which enables a new generation of intelligent web that utilizes this semantic information as source of knowledge. The vision of semantic web crafts an environment where the information available on the web can be semantically interpreted. However, with abundance of information on the web, it is complicated to interpret the information with their intended meaning. Achieving this by interoperability among different information systems is very laborious, tedious and error-prone task which results out of semantic heterogeneity. Semantic web suggested solution of retrieval of specific information through the use of ontology matching technique and intelligent agent technology. In this paper we have proposed a knowledge-based grid for retrieving valuable information according to users necessitates. This paper also conducts a review of research in the area of intelligent communities and identifies the major theoretical and practical issues which need to be addressed.
机译:如今,智慧信息检索系统已在Web上可用,它使新一代的智能Web能够利用这种语义信息作为知识来源。语义Web的构想营造了一个环境,在此环境中可以对Web上可用的信息进行语义解释。但是,由于网络上有大量信息,因此以其预期含义来解释信息很复杂。通过不同信息系统之间的互操作性来实现这一点是非常费力,乏味且容易出错的任务,这是由于语义异质性而导致的。语义网建议通过使用本体匹配技术和智能代理技术来检索特定信息的解决方案。在本文中,我们提出了一种基于知识的网格,用于根据用户需求检索有价值的信息。本文还对智能社区领域的研究进行了综述,并确定了需要解决的主要理论和实践问题。

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