Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications

Joachim W. Schmidt et Costantino Thanos

ISBN 10: 3540189874 / ISBN 13: 9783540189879

Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1989

A propos de cet article

Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1989. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 1989. Ammareal gives back up to 15% of this item's net price to charity organizations.

N° de réf. du vendeur E-598-194

Détails bibliographiques

• Titre: Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications
• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date de parution: 1989
• Langue: anglais
• ISBN à 10 chiffres: 3540189874
• ISBN à 13 chiffres: 9783540189879
• Reliure: Hardcover
• État de l'article: Bon

A propos de ce titre

Synopsis

In the past, applied artificial intelligence systems were built with particular emphasis on general reasoning methods intended to function efficiently, even when only relatively little domain-specific knowledge was available. In other words, AI technology aimed at the processing of knowledge stored under comparatively general representation schemes. Nowadays, the focus has been redirected to the role played by specific and detailed knowledge, rather than to the reasoning methods themselves. Many new application systems are centered around knowledge bases, i. e. , they are based on large collections offacts, rules, and heuristics that cap- ture knowledge about a specific domain of applications. Experience has shown that when used in combination with rich knowledge bases, even simple reasoning methods can be extremely effective in a wide variety of problem domains. Knowledge base construction and management will thus become the key factor in the development of viable knowledge-based ap- plications. Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases. In addition to deductive reasoning, KBMSs require operational characteristics such as concurrent access, integrity maintenance, error recovery, security, and perhaps distribution. For the development ofKBMSs, the need to integrate concepts and technologies from different areas, such as Artificial Intel- ligence, Databases, and Logic, has been widely recognized. One of the central issues for KBMSs is the framework used for knowledge representation-semantic networks, frames, rules, and logics are proposed by the AI and logic communities.