Call for Paper - November 2019 Edition
IJCA solicits original research papers for the November 2019 Edition. Last date of manuscript submission is October 21, 2019. Read More

Integrated Knowledge Base: An Approach to Knowledge Extraction

Print
PDF
IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies
© 2012 by IJCA Journal
ICNICT - Number 6
Year of Publication: 2012
Authors:
Deepa Chaudhary
Praveen K. Yadav
Rakesh K. Singh
Subhojit Mitra
Siddharth

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

@article{key:article,
	author = {Deepa Chaudhary and Praveen K.Yadav and Rakesh K. Singh and Subhojit Mitra and Siddharth},
	title = {Article: Integrated Knowledge Base: An Approach to Knowledge Extraction},
	journal = {IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies},
	year = {2012},
	volume = {ICNICT},
	number = {6},
	pages = {19-25},
	month = {November},
	note = {Full text available}
}

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

  • Chaudhary Deepa, "Extracting EHCPRs Rules from Existing Knowledge Bases" International Conferences on Issues and Challenges in Network, Intelligence & Computing Technologies, 2-3 Sep. ,2011.
  • V. Maniraj, Dr. R Sivakumar, "Ontology Languages-A Review". IACSIT.
  • McDermott Drew, Doyle John, 1980, "Non-monotonic Logic", Artificial Intelligence, vol. 13, pp. 41-72.
  • Quillian, M. R 1968, "Semantic Memory", in M. Minski, Ed. , Semantic Information Processing, MIT Press, Cambridge, MA.
  • Marvin Minsky, "A Framework for Representing Knowledge", MIT-AI Laboratory, Memo 306, 1974.
  • Davis R. and Buchanan B. G,"Production rules as a representation system for a knowledge based Consultation system", Artificial intelligence, vol 8, pp. 15-45.
  • Schank R. C and Abelson P. P, 1977, "Scripts Plans Goals and Understanding",Hillsdale,N. J.
  • Deepa Chaudhary, Praveen K. Yadaav, Rakesh K. Singh, Sudhanshu Mishra,Siddharth , "Enriching the Knowledgebase Using Unification Technioques","ARTCom 2012".