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

Maristella Agosti

Floriana Esposito

volume also contains the reports on the two keynote addresses and a communication on a relevant national project.

6th Italian Research Conference, IRCDL 2010, Padua, Italy, January 28-29, 2010. Revised Selected Papers

Digital Libraries

Francois Bancilhon

Database technology is currently being pushed by the needs of new applications and pulled by the oppor- tunities of novel developments in hardware and systems architecture. The invited paper, two panel sessions and 27 papers in this volume report on how the technology is currently extending. One broad area covered is extended database semantics, including data models and data types, databases and logic, complex objects, and expert system approaches to databases. The other area covered is raw architectures and increased database systems support, including novel transaction models, data distribution and replication, database administration, and access efficiency.

International Conference on Extending Database Technology. Venice, Italy, March 26-30, 1990, Proceedings.

Advances in Database Technology - EDBT '90

Francesca Borri

Leonardo Candela

This book constitutes the thoroughly refereed post-proceedings of the First International Conference on Digital Libraries, DELOS 2007, held in Pisa, Italy, in February 2007. The 33 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on similarity search, architectures, personalization, interoperability, evaluation, miscellaneous, preservation, video data management, 3D objects, and peer to peer.

First International DELOS Conference, Pisa, Italy, February 13-14, 2007, Revised Selected Papers

Digital Libraries: Research and Development

This book constitutes the proceedings of the 6th Italian Research Conference on Digital Libraries held in Padua, Italy, in January 2010.

Costantino Thanos

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