Abstract
This paper describes some aspects of a current, interdisciplinary project carried out at the French National Center for Scientific Research (CNRS), and centered around a proposal conceming the integration of Artificial Intelligence (AI) and Database (DB) techniques. Our aim is to establish a sound methodology for the construction of Large Knowledge Based Systems (LKBSs) by combining the high-level information modeling features, the deductive capabilities, and the flexibility of the AI Knowledge Representation Languages (KRLs) with the characteristics of efficiency, security, concurrency, recovery and persistence of data provided by the Data Base Management Systems (DBMSs).We give in particular a succint description of the work already accomplished within the project in the knowledge representation area (set up of a powerful “hybrid representation system”).
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