Representation of highly-complex knowledge in a database |
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| Authors: | Avigdor Gal Opher Etzion Arie Segev |
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| Affiliation: | (1) Information Systems Engineering Group, Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology, 32000 Haifa, Israel;(2) Haas School of Business, University of California and Information & Computing Sciences Division, Lawrence Berkeley Laboratory, 94720 Berkeley, CA, USA |
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| Abstract: | This paper presents a unified framework for representing highly-complex knowledge in a database as a new paradigm for handling large and complex information in an easy and efficient manner. The framework provides a database with the capabilities to support next generation databases for decision support systems through the use of derivation rules, temporal information, knowledge from multiple sources with different measures of quality and epistemic knowledge. The model integrates concepts from both thedatabase and theartificial intelligence disciplines. |
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| Keywords: | Complex Information Modeling Intelligent information systems Temporal databases Active databases |
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