语义web中用于查询检索的Govt_exam本体

Dhiraj Khurana, Cheshta Diwan
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引用次数: 0

摘要

万维网呈指数级增长,即使使用高效的搜索引擎也很难找到相关信息。搜索结果总是给出许多不相关的数据,这些数据往往会误导人们找到实际需要的信息。这个问题的一个解决方案是语义网,这是由蒂姆·伯纳爵士的李提出的。语义网是万维网的扩展版本,它为高效的信息检索过程打开了新的大门。本体是实现语义网的方法之一。本文利用prosam本体创建工具创建政府考试本体。在给定的本体论中,提供了中央和邦一级不同政府考试之间的各种关系,并给出了这些考试的一般信息,如考试类型、考试科目水平和培训机构。这种面向特定领域的本体可以帮助潜在的信息寻求者获得准确的信息,从而有助于破解考试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GOVT_EXAM ONTOLOGY IN SEMANTIC WEB FOR QUERY RETRIEVAL
The World wide web is growing day by day exponentially and it becomes difficult to find the relevant information even using efficient search engines. Search results always give lots of irrelevant data which often misled to actual needed information. One solution of this problem is semantic web which was proposed by Sir Tim Berner’s Lee. Semantic web is an extended version of World Wide Web that has opened the new doors for efficient information retrieval process. Ontology is one of the methodologies to implement the semantic web. In this paper govt exam ontology is created with the help of protégé ontology creation tool. In the given ontology various relationship between different govt exams of central and state level is provided and also the general information about these exams like exam type, subject level of exam and institutes for coaching is given. This domain specific ontology can help the potential information seeker to get the accurate information which can help to crack the exam.
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