Artificial Intelligence: methodology, systems, and applications

Euzenat, Jérôme and Domingue, John eds. (2006). Artificial Intelligence: methodology, systems, and applications. Lecture Notes in Computer Science, subseries: Lecture Notes in Artificial Intelligence, 4183. Germany: Springer.

URL: http://www.springer.com/computer/ai/book/978-3-540...

Abstract

This book constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2006, held in Varna, Bulgaria in September 2006. The 28 revised full papers presented together with the abstracts of 2 invited lectures were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on agents, constraints and optimization, user concerns, decision support, models and ontologies, machine learning, ontology manipulation, natural language processing, and applications.

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About

• Item ORO ID
• 23133
• Item Type
• Edited Book
• ISBN
• 3-540-40930-0, 978-3-540-40930-4
• Keywords
• MAS; NLP; Web services; conceptual modeling; constraints; decision making; enterprise information integration; knowledge management; learning software; machine learning; metamodelling; multi-agent systems; ontology mapping; optimization; privacy; semantic Web; semantic interoperability; visualization
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2006 Springer-Verlag Berlin Heidelberg
• Depositing User
• Kay Dave