Common-Sense Word Semantics using Dictionary Based Approach – An Early Model for Semantic Knowledge Processing
Автор: Rashmi S, Hanumanthappa M
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 1 vol.9, 2017 года.
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Knowledge processing is the prime area of information retrieval in the current era. However knowledge is subjected to the meaning of discretion in any natural language. Intelligent search in various Natural Languages is required in the huge repository of information available online. Language is the integral part for any form of communication but the language has to be meaningful. Semantics is a field of linguistics that deals with the meaning of the linguistic expressions through discovery of knowledge. In this research paper, the dictionary based approach for semantics is studied and implemented. The dictionary based proposal relies on the formalization of sentence across SVO (Subject-Verb-Object) format. Rule-based classifier helps to define the rules that are checked against the dictionary which contains sequence of Subject, Verbs and Object available in English Language. By looking at the accuracy measures, recall and precision the results obtained by the proposed approach is proven good.
Common – Sense Word Semantics, Natural Language, Pragmatics, Predicate Logic, Rule-based classifier, Semantics model, Subject-Verb-Object format
Короткий адрес: https://sciup.org/15013493
IDR: 15013493
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