Database semantics covers the area between database theory and knowledge representation as practised in artificial intelligence. The pertinence of this subject is reflected in the fact that conventional database systems are sadly lacking in capabilities, making it essential that database systems are provided with some degree of understanding of the intended meaning of the data. The attempts currently being made by the information processing community to correct this deficit are presented in this volume, analyzing the links between databases and knowledge representation, and approaching the area for the first time from the database and conceptual schema viewpoints. Five keynote speeches by eminent experts (Steel, Neuhold, Nijssen, Jardine, Kent) provide the anchor points for the other contributions which span a wide spectrum of topics, from the very abstract to the explicit and practical.
Database semantics covers the area between database theory and knowledge representation as practised in artificial intelligence. The pertinence of this subject is reflected in the fact that conventional database systems are sadly lacking in capabilities, making it essential that database systems are provided with some degree of understanding of the intended meaning of the data. The attempts currently being made by the information processing community to correct this deficit are presented in this volume, analyzing the links between databases and knowledge representation, and approaching the area for the first time from the database and conceptual schema viewpoints. Five keynote speeches by eminent experts (Steel, Neuhold, Nijssen, Jardine, Kent) provide the anchor points for the other contributions which span a wide spectrum of topics, from the very abstract to the explicit and practical.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 230 mm
Breite: 150 mm
ISBN-13
978-0-444-70004-9 (9780444700049)
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Schweitzer Klassifikation
Objects and Abstract Data Types in Information Systems (E.J. Neuhold). Modeling Static and Dynamic Aspects of Information Systems (R. Studer, A. Horndasch). On the Relationship between Conceptual Schemata and Integrity Constraints on Databases (C.A. Heuser, G. Richter). Conceptual Modelling Based on Net Refinements (G. Lausen) . Conceptual Models in Prolog (H. Weigand). Semantic Agreement and the Communication of Knowledge (D.A. Jardine). A Denotational Semantics for Administrative Databases (R.M. Lee). Conceptual Modeling Abstraction Mechanisms as Parameterized Theories in Institutions (C. Sernadas, A. Sernadas). Database Specification (S. Khosla, T.S.E. Maibaum, M. Sadler). Enhancing the Operational Semantics of the Entity-Relationship Model (C. Parent, S. Spaccapietra). The Realities of Data: Basic Properties of Data Reconsidered (W. Kent). On Experience with Large-Scale Teaching and Use of Fact-Based Conceptual Schemas in Industry and University (G.M. Nijssen). On Structural and Behavioral Modelling of Reality (A. Solvberg, C.H. Kung). Temporal Aspect of Databases: Interaction between State and Event Relations (I. Kobayashi). A Logic of Social Norms for the Semantics of Business Information (R. Stamper). A Minimal Conceptual Schema Language for Life, the Universe and Everything (T.B. Steel, Jr.). On the Meaning of English Queries to Data Bases (A. Amikam). Update Dependencies (L. Mark, N. Roussopoulos, B. Chu).