Information systems and artificial intelligence : integration aspects : first workshop, Ulm, FRG, March 19-21, 1990 : proceedings
Knowledge-based systems have been successfully developed in practice for a number of years. However, they are often "only" stand-alone systems; integrating them into existing information environments, e.g. making available real production data to an expert system, often either fails or is...
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
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Springer
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Cham : Springer Nature |
| Edice: | Lecture notes in computer science
474 |
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| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Information systems and artificial intelligence, integration aspects, first workshop, Ulm, FRG, March 19-21, 1990, proceedings, D. Karagiannis (ed.), Berlin, Springer-Verlag, 1991, 1 vol. (X-293 p.), Lecture notes in computer science, 3-540-53557-8 • Information Systems and Artificial Intelligence: Integration Aspects, Texte imprimé, 9783662178843 |
Obsah:
- A semantics for the integration of database modifications and transaction brackets into a logic programming language
- Handling incomplete knowledge in artificial intelligence
- Negation in logic programming: A formalization in constructive logic
- Database support for knowledge representation?
- A KBMS for BABYLON
- Database concepts for the support of knowledge-based systems
- Integrity and recursion: two key issues for deductive databases
- An approach to DBS-based knowledge management
- Knowledge bases and databases: Current trends and future directions
- Terminological reasoning and information management
- Conceptual modeling of database applications
- Information analysis: A step by step clarification of knowledge and requirements
- Model-based knowledge acquisition
- Practical experiences a panel session
- Practical experiences in coupling knowledge base and database in a productive environment
- Performance measurements and analyses of coupling approaches of database and expert systems and consequences to their integration
- Integration of AI systems in conventional environments.