The next generation of information systems : from data to knowledge : a selection of papers presented at Two IJCAI-91 workshops, Sydney, Australia, August 26, 1991
Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are req...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
|---|---|
| সংস্থা লেখক: | |
| অন্যান্য লেখক: | |
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| মালা: | Lecture notes in computer science. Lecture notes in artificial intelligence
611 |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The next generation of information systems, from data to knowledge, Mike P. Papazoglou, John Zeleznikow (eds), Berlin, Springer-Verlag, 1992, 1 vol. (VIII-310 p.), Lecture notes in computer science, 3-540-55616-8 • The Next Generation of Information Systems: From Data to Knowledge, Texte imprimé, 9783662196953 |
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| 100 | 1 | |a Papazoglou, Michael P., |d 1953- | |
| 245 | 1 | 0 | |a The next generation of information systems : |b from data to knowledge : a selection of papers presented at Two IJCAI-91 workshops, Sydney, Australia, August 26, 1991 |c [edited by] M. P. Papazoglou, J. Zeleznikow. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 611 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a The next generation of information systems from intelligence to distribution and cooperation -- A data and operation model for advanced database systems -- An object-oriented data model to represent uncertainty in coupled artificial intelligence database systems -- Common architectures for databases and knowledge-based systems -- The construction of maintainable knowledge bases -- Adding qualitative reasoning to an organizational database for management decision support -- Building human-centered intelligent cooperative information systems with IKEA -- Database organisation for qualitative analysis: the NUDIST system -- Using a prolog engine to integrate multiple knowledge sources: the KCM/Help-desk project -- From relations to objects: A translation methodology for an object oriented front-end to RDBMSs -- A framework for cooperative adaptable information systems -- Problem solving in federative environments: The FRESCO concept of cooperative agents -- Heterogeneous database integration architecture based on a conversation theoretic skeleton -- Coarse-grained distributed agents for transparent access to remote information -- A forward-chaining information framework -- Using negotiation and coordination in multiagent Intelligent Cooperative Information Systems -- A distributed cooperative agents architecture for software development -- Knowledge selection in large knowledge bases. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Traditional database systems have been able to manipulate large amounts of data efficiently, whilst artificial intelligence (and in particular expert systems) have reasoned with rules, but rarely with data. It has become evident that to build truly intelligent information systems, facilities are required from artificial intelligence and database and distributed technologies. This book consists of seventeen selected and revised papers on the next generation of information systems, based on papers presented at two workshops, one on integrating artificial intelligence and databases, and the other on intelligent and cooperating information systems. The papers address several core issues, such as intelligence, distribution, and multi-agent/cooperative systems, and focuses on designing and building such systems mainly through the use of intelligent agents. The book presents up-to-date developments in this interdisciplinary field, covering information systems, artificial intelligence, and distributed systems. | ||
| 650 | |a Informatique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Zeleznikow, John, |d 19..- |4 pbd | |
| 711 | 2 | |a International joint conference on artificial intelligence |n (12 |d :1991 |c :Sydney, Australie). |4 aut | |
| 776 | 0 | |0 002854503 |t The next generation of information systems |o from data to knowledge |f Mike P. Papazoglou, John Zeleznikow (eds) |c Berlin |n Springer-Verlag |d 1992 |p 1 vol. (VIII-310 p.) |s Lecture notes in computer science |z 3-540-55616-8 | |
| 776 | 0 | |t The Next Generation of Information Systems: From Data to Knowledge |b Texte imprimé |z 9783662196953 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-55616-8 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-F7VFN3QT-3 |z Accès sur la plateforme Istex | |
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