文章基本信息

标题：Concept Identification Using Markov Logic Network
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作者：K. Karthikeyan ; Dr. V. Karthikeyani
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：8
页码：7615-7621
出版社：IJECS
摘要：Ontology is a most essential technology in Data and Knowledge Engineering. Because ofOntology provide many advantages over Object Oriented Concepts, like Knowledge Sharing, reusability,Interoperability and Knowledge Level Validation and Verification. Ontology is a collection of concepts thatrepresent knowledge in the domain and there exist common terminology to provide types, methods andrelationship between those concepts in the domain. Ontology used in the form of structural framework inmany field like Artificial Intelligence, Information Science, Semantic Web and etc., this conceptidentification presents an ontology building through the automatic and semi-automatic process. Most of theontology learning technique developed using the Classifiers, NLP, probabilistic and statistical learning. Forthe concept identification it uses the process of statistical learning with the combination of text
关键词：Concept; Concept Identification; Ontology learning; Markov Logic Netowrk