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X-similarity comparison by using Wordnet

Kasim, Shahreen and Omar, Nurul Aswa and Mohammad Akbar, Nurul Suhaida and Hassan, Rohayanti and Azmi Murad, Masrah Azrifah (2017) X-similarity comparison by using Wordnet. International Journal on Informatics Visualization, 1 (4-2). pp. 188-191. ISSN 25499904

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Abstract

Semantic web is an addition of the previous one that represents information more significantly for humans and computers. It enables the description of contents and services in machine readable form. It also enables annotating, discovering, publishing, advertising and composing services to be programmed. Semantic web was developed based on Ontology which is measured as the backbone of the semantic web. Machine-readable is transformed to ma-chine-understandable in the current web. Moreover, Ontology provides a common vocabulary, a grammar for pub-lishing data and can provide a semantic description of data which can be used to conserve the Ontology and keep them ready for implication. There are many that used in feature based in semantic similarity. This research presents a single ontology of X-Similarity feature based method.

Item Type: Article
Uncontrolled Keywords: X-similarity; Wordnet
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Mar 2019 07:37
Last Modified: 31 Mar 2019 07:37
URI: http://eprints.uthm.edu.my/id/eprint/10914
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