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On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages /
The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.
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| Main Authors: | , , , |
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| Format: | Texto biblioteca |
| Language: | eng |
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New York, NY : Springer New York,
1984
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| Subjects: | Computer science., Programming languages (Electronic computers)., Computers., Artificial intelligence., Computer Science., Artificial Intelligence (incl. Robotics)., Programming Languages, Compilers, Interpreters., Models and Principles., |
| Online Access: | http://dx.doi.org/10.1007/978-1-4612-5196-5 |
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Computer science. Programming languages (Electronic computers). Computers. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Programming Languages, Compilers, Interpreters. Models and Principles. Computer science. Programming languages (Electronic computers). Computers. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Programming Languages, Compilers, Interpreters. Models and Principles. |
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Computer science. Programming languages (Electronic computers). Computers. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Programming Languages, Compilers, Interpreters. Models and Principles. Computer science. Programming languages (Electronic computers). Computers. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Programming Languages, Compilers, Interpreters. Models and Principles. Brodie, Michael L. editor. Mylopoulos, John. editor. Schmidt, Joachim W. editor. SpringerLink (Online service) On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
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The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling. |
| format |
Texto |
| topic_facet |
Computer science. Programming languages (Electronic computers). Computers. Artificial intelligence. Computer Science. Artificial Intelligence (incl. Robotics). Programming Languages, Compilers, Interpreters. Models and Principles. |
| author |
Brodie, Michael L. editor. Mylopoulos, John. editor. Schmidt, Joachim W. editor. SpringerLink (Online service) |
| author_facet |
Brodie, Michael L. editor. Mylopoulos, John. editor. Schmidt, Joachim W. editor. SpringerLink (Online service) |
| author_sort |
Brodie, Michael L. editor. |
| title |
On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
| title_short |
On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
| title_full |
On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
| title_fullStr |
On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
| title_full_unstemmed |
On Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / |
| title_sort |
on conceptual modelling [electronic resource] : perspectives from artificial intelligence, databases, and programming languages / |
| publisher |
New York, NY : Springer New York, |
| publishDate |
1984 |
| url |
http://dx.doi.org/10.1007/978-1-4612-5196-5 |
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AT brodiemichaelleditor onconceptualmodellingelectronicresourceperspectivesfromartificialintelligencedatabasesandprogramminglanguages AT mylopoulosjohneditor onconceptualmodellingelectronicresourceperspectivesfromartificialintelligencedatabasesandprogramminglanguages AT schmidtjoachimweditor onconceptualmodellingelectronicresourceperspectivesfromartificialintelligencedatabasesandprogramminglanguages AT springerlinkonlineservice onconceptualmodellingelectronicresourceperspectivesfromartificialintelligencedatabasesandprogramminglanguages |
| _version_ |
1756264059181727744 |
| spelling |
KOHA-OAI-TEST:1758652018-07-30T22:54:18ZOn Conceptual Modelling [electronic resource] : Perspectives from Artificial Intelligence, Databases, and Programming Languages / Brodie, Michael L. editor. Mylopoulos, John. editor. Schmidt, Joachim W. editor. SpringerLink (Online service) textNew York, NY : Springer New York,1984.engThe growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.I: Artificial Intelligence, Database, and Programming Language Overviews -- 1. An Overview of Knowledge Representation -- 2. On the Development of Data Models -- 3. The Impact of Modelling and Abstraction Concerns on Modern Programming Languages -- II: Perspectives from Artificial Intelligence -- 4. Generalization/Specialization as a Basis for Software Specification -- 5. Some Remarks on the Semantics of Representation Languages -- 6. Open Systems -- 7. The Logic of Incomplete Knowledge Bases -- 8. Towards a Logical Reconstruction of Relational Database Theory -- 9. A Formal Representation for Plans in the Programmer’s Apprentice -- III: Perspectives from Databases -- 10. On the Design and Specification of Database Transactions -- 11. A Unified Model and Methodology for Conceptual Database Design -- 12. Adding Semantic Knowledge to a Relational Database System -- IV: Perspectives from Programming Languages -- 13. The Functional Data Model and its Uses for Interaction with Databases -- 14. Types in the Programming Language Ada -- 15. Data Selection, Sharing, and Access Control in a Relational Scenario -- 16. Types, Algebras and Modelling -- V: Concluding Remarks from Three Perspectives -- 17. An Artificial Intelligence Perspective -- 18. A Database Perspective -- 19. A Programming Language Perspective -- References -- Authors and Symposium Participants.The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre sents knowledge about an enterprise. Consequently, Knowledge Repre sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.Computer science.Programming languages (Electronic computers).Computers.Artificial intelligence.Computer Science.Artificial Intelligence (incl. Robotics).Programming Languages, Compilers, Interpreters.Models and Principles.Springer eBookshttp://dx.doi.org/10.1007/978-1-4612-5196-5URN:ISBN:9781461251965 |