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Advances in Information Modelling and Knowledge Bases (Frontiers in Artificial Intelligence and Applications) - Softcover
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Inhaltsangabe
This work is a continuation of an effort to study foundations and applications of conceptual modelling in various environments. The motivation of these efforts is the fact that conceptual modelling and knowledge representation together with various kinds of interference systems are important sub-fields in the design and use of information systems and are also becoming increasingly important in other fields of engineering. The modelling problem is a key factor in various disciplines, ranging from database-design, knowledge engineering, logic, artificial intelligence and cognitive science to philosophy and linguistics. The contributions to this volume direct the focus of interest to the development and use of conceptual models in information systems of various kinds and they aim to improve awareness of general or specific problems and solutions in conceptual modelling. They also attempt to reveal new aspects of modelling to which, in the contributors' opinion, more attention should be paid.
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Reseña del editor
This work is a continuation of an effort to study foundations and applications of conceptual modelling in various environments. The motivation of these efforts is the fact that conceptual modelling and knowledge representation together with various kinds of interference systems are important sub-fields in the design and use of information systems and are also becoming increasingly important in other fields of engineering. The modelling problem is a key factor in various disciplines, ranging from database-design, knowledge engineering, logic, artificial intelligence and cognitive science to philosophy and linguistics. The contributions to this volume direct the focus of interest to the development and use of conceptual models in information systems of various kinds and they aim to improve awareness of general or specific problems and solutions in conceptual modelling. They also attempt to reveal new aspects of modelling to which, in the contributors' opinion, more attention should be paid.
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