doi: 10.7763/IJET.2013.V5.520
Normalization Strategy of Logical Knowledge Representation for Text Document
Rabiah A. Kadir
1
,
T. M. T. Sembok
2
,
Fatimah Ahmad
3
,
Azreen Azman
4
- 1 the School of Computer Science and Information System, Najran University, Kingdom of Saudi Arabia, Seconded from Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
- 2 the Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, P. O. Box 10, 50728, Kuala Lumpur, Malaysia
- 3 the Computer Science Department, Faculty of Defence Science and Technology, National Defence University of Malaysia
- 4 the Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
Abstract
This paper discussed the idea of the computer system capable of simulating understanding with respect to reading a text document. The research is concerned with the problem of generating sophisticated knowledge representation for the purpose of understanding the natural language. Due to that, a simplification form of logical-oriented model of knowledge representation called Pragmatic Skolem Clauses (PSC) is proposed to represent the semantic formalism for the computational linguistic. Each set of pragmatic skolem clauses containing at least one skolem constant, which shows the thematic role relationship between clauses. Semantically and pragmatically-accented approach will be discussed in this paper in the context of formal grammar and linguistic semantic.
Keywords
- Semantic technology
- logical method
- knowledge representation
- first order logic
How to Cite
Rabiah A. Kadir, T. M. T. Sembok, Fatimah Ahmad, and Azreen Azman, "Normalization Strategy of Logical Knowledge Representation for Text Document," International Journal of Engineering and Technology, vol. 5, no. 1, pp. 98-103, 2013. https://doi.org/ 10.7763/IJET.2013.V5.520
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).