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OntoKhoj: A Semantic Web Portal for Ontology Searching, Ranking and Classification

机译:OntoKhoj:用于本体搜索,排名和分类的语义Web门户

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摘要

The goal of the next generation Web is to build virtual communities, wherein software agents and people can work in cooperation by sharing knowledge. To achieve this goal, the emerging Semantic Web community has proposed ontologies to express knowledge in a machine understandable way. The process of building and maintaining ontologies, which is known as Ontology Engineering, presents unique challenges. These challenges are related to lack of trustworthy and authoritative knowledge sources and absence of a centralized repository to locate ontologies to be reused. In this paper, we propose a Semantic Web portal, called OntoKhoj that is designed to simplify the Ontology Engineering process. The methodology in developing OntoKhoj is based on algorithms used for searching, aggregating, ranking and classifying ontologies in Semantic Web. The proposed OntoKhoj would 1) allow agents and ontology engineers to retrieve trustworthy, authoritative knowledge, and 2) expedite the process of ontology engineering through extensive reuse of ontologies. We have implemented the OntoKhoj portal and further validated our system on the real ontological data in the Semantic Web.
机译:下一代Web的目标是建立虚拟社区,其中软件代理和人们可以通过共享知识来合作。为了实现此目标,新兴的语义Web社区提出了本体论,以机器可理解的方式表达知识。建立和维护本体的过程(称为本体工程)提出了独特的挑战。这些挑战与缺乏可信赖的权威性知识资源以及缺乏用于定位要重用的本体的集中式存储库有关。在本文中,我们提出了一个名为OntoKhoj的语义Web门户,该门户旨在简化本体工程流程。开发OntoKhoj的方法基于用于语义网中本体的搜索,汇总,排名和分类的算法。提议的OntoKhoj将1)允许代理和本体工程师检索可信赖的权威知识,以及2)通过大量重用本体来加快本体工程的过程。我们已经实现了OntoKhoj门户,并在语义Web中的真实本体数据上进一步验证了我们的系统。

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