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Titlebook: Conceptual Graphs for Knowledge Representation; First International Guy W. Mineau,Bernard Moulin,John F. Sowa Conference proceedings 1993

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Towards domain-independent machine intelligence,m domains (including chess, Othello, pente and image alignment) where the combinatorics of the state space is large and the learning process only receives reinforcement at the end of each search. The unique features of the APS framework are its pattern-weight representation of control knowledge and
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Conceptual structures for modeling in CIM,f the semantics of information models. Our overall strategy consists of representing the semantics of the language, including the informal meanings represented in the . manual in plain English, in a systematic way in CS, and then use this block of knowledge, that . be processed by a machine, for the
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Heterogeneous reasoning,onal system. As a corollary, I will argue for the usefulness of heterogeneous reasoning systems and for the special role of linguistic representations within such systems. I will illustrate the points with examples using hardware diagrams and ..
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Implementing conceptual graphs in a RDBMS, used to remedy some of these inadequacies. A description of current research into implementing a conceptual graph layer on top of a relational database is given, along with some general algorithms for conceptual graph operations on relational database structures.
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A conceptual graphs approach to conceptual schema integration,tegrated to form a global information schema. The integration of these modules is a well-known problem area in database systems design. With the likely availability of “off-the-shelf” modules in future this has become a crucial problem to solve. This paper presents an approach to the solution of this problem using conceptual graphs.
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Conceptual Graphs for Knowledge Representation978-3-540-47848-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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