An Integrated ontology for classification of research publication in the domain of computer science

S. Ali
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引用次数: 2

Abstract

Several academic degree programs have research component. As a first step in the research activity, Research scholar has to undertake literature survey, which enables them to understand the domain of their research and to identify the problem, which they would like to address. This literature survey maps to searching the web for published papers in different professional society like ACM, IEEE and by any related digital library of their domain of interest. These Professional Societies have knowledge base regarding research publication. The knowledge base uses ontology build by ontology expert of that domain, publically available to reuse. These ontologies suffer from the limitations of domain knowledge. We have proposed a novel scheme to map among different types of ontology build by different professional society using Metadata of research publication. To map ontology we use DDC (Dewey Decimal Code), a classification system, to fit different domain ontologies into one based on the metadata. The metadata play vital role to make ontology, which are obtained from research publications, has attributes Subject, Title, keyword, Author Name, and Affiliation etc. This Integrated ontology is generalization of world knowledge.
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计算机科学领域研究出版物分类的集成本体
一些学术学位课程有研究成分。作为研究活动的第一步,研究学者必须进行文献调查,这使他们能够了解他们的研究领域,并确定他们想要解决的问题。这个文献调查映射到在网络上搜索不同的专业学会发表的论文,如ACM, IEEE和任何相关的数字图书馆他们感兴趣的领域。这些专业学会有关于研究发表的知识库。知识库采用该领域本体专家构建的本体,可公开重用。这些本体受到领域知识的限制。我们提出了一种利用研究出版物元数据在不同专业协会建立的不同类型本体之间进行映射的新方案。为了映射本体,我们使用DDC (Dewey Decimal Code)分类系统,基于元数据将不同的领域本体匹配到一个本体中。元数据从研究出版物中获取本体,具有主题、标题、关键词、作者姓名、隶属关系等属性,是构成本体的重要组成部分。这种集成本体是对世界知识的概括。
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