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Reseach Article

Integrated Knowledge Base: An Approach to Knowledge Extraction

Published on November 2012 by Deepa Chaudhary, Praveen K.Yadav, Rakesh K. Singh, Subhojit Mitra, Siddharth
Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 6
November 2012
Authors: Deepa Chaudhary, Praveen K.Yadav, Rakesh K. Singh, Subhojit Mitra, Siddharth
b07e02f5-f545-4e61-86d2-0473e7b8e726

Deepa Chaudhary, Praveen K.Yadav, Rakesh K. Singh, Subhojit Mitra, Siddharth . Integrated Knowledge Base: An Approach to Knowledge Extraction. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 6 (November 2012), 19-25.

@article{
author = { Deepa Chaudhary, Praveen K.Yadav, Rakesh K. Singh, Subhojit Mitra, Siddharth },
title = { Integrated Knowledge Base: An Approach to Knowledge Extraction },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 6 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 19-25 },
numpages = 7,
url = { /specialissues/icnict/number6/9453-1072/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Deepa Chaudhary
%A Praveen K.Yadav
%A Rakesh K. Singh
%A Subhojit Mitra
%A Siddharth
%T Integrated Knowledge Base: An Approach to Knowledge Extraction
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 6
%P 19-25
%D 2012
%I International Journal of Computer Applications
Abstract

This paper describes an approach to integrate knowledge base via converting predicates into Semantic networks and in frames. A knowledge base can be represented in a tabular form, a rule form, a tree form or any other form suitable for knowledge representation. Form conversion can be accomplished at all times. Unification of knowledge always overcome individual limitations and has synergetic effects in knowledge extraction. The graphical representation of knowledge base has more understandability than any other representation. Aim of this paper is to develop a system which accepts input from the user in the form of predicates and generates outputs with graphical representation of semantic networks as well as of frames.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Representation Predicate Logic Semantic Network Frames Ontology Script And Production Rule