Joachim W. Schmidt

Costantino Thanos

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.

Contributions from Logic, Databases, and Artificial Intelligence Applications

Foundations of Knowledge Base Management

Umesh Dayal

Catriel Beeri

J.W. Schmidt

Proceedings of the meeting held in Jerusalem, Israel, June, 1988. Thirty papers represent a cross ssection of the many facets of contemporary database research and provide an up-to-date account of activities of some of the leading companies in the database field. Covers: knowledge-based application

Proceedings of the Third International Conference

Data and Knowledge Bases

Yannis Ioannidis

Mike Hatzopoulos

Alfons Kemper

Klemens Boehm

Torsten Grust

Marc H. Scholl

Christian Boehm

Florian Matthes

This book constitutes the refereed proceedings of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany, in March 2006. The 60 revised research papers presented together with eight industrial application papers, 20 software demos, and three invited contributions were carefully reviewed and selected from 352 submissions. The papers are organized in topical sections.

10 International Conference on Extending Database Technology, Munich, Germany, 26-31 March 2006, Proceedings

Advances in Database Technology - EDBT 2006

International East/West Data Base Workshop

The papers in this book discuss the concepts that will determine the next generation of information systems, such as data types for databases, object orientation, data deduction and construction, visual database interfaces, interoperability and extensibility, open architectures.

First International East/West Data Base Workshop, Kiev, USSR, October 9-12, 1990. Procceedings

Next Generation Information System Technology

Advances in Database Technology -- EDBT 2006

Joachim W. Schmidt

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