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DOI: 10.14569/IJARAI.2013.020202
PDF

A Kabbalah System Theory of Ontological and Knowledge Engineering for Knowledge Based Systems

Author 1: Gabriel Burstein
Author 2: Constantin Virgil Negoita

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 2, 2013.

  • Abstract and Keywords
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Abstract: Using the Kabbalah system theory (KST) developed in [1], [2], we propose an ontological engineering for knowledge representation of domains in terms of concept systems in knowledge based systems in artificial intelligence. KST is also used for the knowledge engineering of the knowledge model building based on ontology. KST provides thus an integrative, unifying, domain independent framework for both the knowledge representation via ontologies and knowledge model building via knowledge engineering in knowledge based systems.

Keywords: knowledge based system; knowledge representation; ontological engineering; knowledge modeling; knowledge engineering; artificial intelligence; Kabbalah; system theory; category theory

Gabriel Burstein and Constantin Virgil Negoita, “A Kabbalah System Theory of Ontological and Knowledge Engineering for Knowledge Based Systems” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(2), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020202

@article{Burstein2013,
title = {A Kabbalah System Theory of Ontological and Knowledge Engineering for Knowledge Based Systems},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020202},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020202},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {2},
author = {Gabriel Burstein and Constantin Virgil Negoita}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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