A Model of Hierarchical Knowledge Representation – Toward Knowware for Intelligent Systems
Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau SAR, China
We propose a model for multiresolutionary knowledge representation; define concepts of domain, application, and working hierarchies; and discuss inference mechanisms in the knowledge hierarchy. We also introduce an automatic construction of the knowledge hierarchy for the development of intelligent systems.
-  L. Ding, “Design and development of knowware system,” Proc. the 2nd Int. Conf. on Innovative Computing, Information and Control (ICICIC’2007), Kumamoto, Japan, Sep. 2007.
-  L. Ding and S. Nadkarni, “Automatic construction of knowledgebased system using knowware system,” Proc. the 6th Int. Conf. on Machine Learning and Cybernetics (ICMLC’2007), Hong Kong, pp. 789-794, Aug. 2007.
-  L. Ding, “Knowware system for the development of intelligent systems,” the 7th Int. Conf. on Intelligent Technologies (InTech’2006), Taipei, pp. 201-210, Dec. 2006.
-  L. Ding and H. C. Lui, “A knowledge-based approach applied in intelligent hand written form processing,” Journal of Advanced Computational Intelligence, Vol.3, No.3, pp. 193-199, 1999.
-  L. Ding, H. C. Lui, and Y. Guo, “A knowledge-based reviser applied in intelligent hand written form,” Proc. Intelligent Data Engineering and Learning, Xu, Chan, King, and Fu (Eds.), Springer, Hong Kong, pp. 339-346, 1998.
-  L. Ding, H. H. Teh, P. Z. Wang, and H. C. Lui, “A Prolog-like inference system based on neural logic – an attempt towards fuzzy neural logic programming,” Fuzzy Sets and Systems, Vol.82, No.2, pp. 235-251, 1996.
-  L. Ding, “A hierarchical information integration approach for timevarying input,” Proc. 1996 IEEE Int. Conf. on Systems, Man and Cybernetics, Beijing, China, pp. 1748-1752, 1996.
-  L. Ding, Z. Shen, and M. Mukaidono, “A proposal on fuzzy prolog for knowledge representation,” Note of Multiple-valued Logic in Japan, Vol.10, No.6, pp. 1-10, Hiroshima, Japan, 1988 (in Japanese).
-  R. Lu, “From hardware to software to knowware: IT’s third liberation?” IEEE Intelligent Systems, Vol.20, No.2, pp. 82-85, 2005.
-  A. M. Meystel and P. P. Wang, “Computing with words: the problems and solutions,” in Computing with Words, P. P. Wang (Ed.), John Wiley & Sons, pp. 69-87, 2001.
-  A. M. Meystel, “Principles with descriptive and veristic words: knowledge representation and knowledge processing of CW, ” in Computing with Words, P. P. Wang (Ed.), John Wiley & Sons, pp. 329-346, 2001.
-  S. Nadkarni and L. Ding, “Knowware system as a decision support tool for small and medium tourism enterprises,” the UNWTO Ulysses Conference on Knowledge based Development through Tourism, Madrid, Spain, May 2007.
-  R. Navigli and P. Velardi, “Ontology learning and its application to automated terminology translation,” IEEE Intelligent Systems, Vol.18, No.1, pp. 22-31, 2003.
-  N. F. Noy and M. A. Musen, “Ontology versioning in an ontology management framework,” IEEE Intelligent Systems, Vol.19, No.4, pp. 6-13, 2004.
-  M. A. Rodriguez and M. J. Egenhofer, “Determining semantic similarity among entity classes from different ontologies,” IEEE Trans. Knowledge and Data Engineering, Vol.15, No.2, pp. 442-456, 2003.
-  Z. Shen, L. Ding, and M. Mukaidono, “Concept structure and its fuzzy logical properties,” Proc. International Fuzzy Engineering Symposium (IFES’91), Yokohama, Japan, pp. 129-140, 1991.
-  M. Sugeno, “Text understanding in brain-style computing,” Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT), Vol.17, No.1, pp. 19-28, 2005 (in Japanese).
-  M. Sugeno, “Verbalizing computers: a way to everyday language computing,” Advances in Soft Computing-AFSS’2002, N. R. Pal and M. Sugeno (Eds.), Springer, pp. 117-120, 2002.
-  Y. Sure, A. Gomez-Perez, W. Daelemans, M.-L. Reinberger, N. Guarino, and N. F. Noy, “Why evaluate ontology technologies? because it works!” IEEE Intelligent Systems, Vol.19, No.4, pp. 74-81, 2004.
-  H. H. Teh, “Neural Logic Networks,” World Scientific, 1995.
-  L. A. Zadeh, “From computing with numbers to computing with words – from manipulation of measurements to manipulation of perceptions,” in Computing with Words, P. P.Wang (Ed.), John Wiley & Sons, pp. 35-68, 2001.
-  L. A. Zadeh, “Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic,” Fuzzy Sets and Systems, Vol.90, pp. 111-127, 1997.
-  L. A. Zadeh, “Fuzzy logic = computing with words,” IEEE Trans. Fuzzy Systems, Vol.4, pp. 103-111, 1996.
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