Does Multi-user Document Classification Really Help Knowledge Management?
In general, document classification research focuses on the automated placement of unseen documents into pre-defined categories. This is regarded as one core technical component of knowledge management systems, because it can support to handle explicit kn
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Subseries of Lecture Notes in Computer Science
4830
Mehmet A. Orgun John Thornton (Eds.)
AI 2007: Advances in Artificial Intelligence 20th Australian Joint Conference on Artificial Intelligence Gold Coast, Australia, December 2-6, 2007 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Mehmet A. Orgun Macquarie University Department of Computing Sydney, NSW 2109, Australia E-mail: [email protected] John Thornton Griffith University School of Information and Communication Technology Gold Coast, Qld 4222, Australia E-mail: [email protected]
Library of Congress Control Number: 2007939893
CR Subject Classification (1998): I.2, F.4.1, H.3, H.2.8, F.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-76926-9 Springer Berlin Heidelberg New York 978-3-540-76926-2 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2007 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12195497 06/3180 543210
Preface
This volume contains the papers presented at AI 2007: The 20th Australian Joint Conference on Artificial Intelligence held during December 2–6, 2007 on the Gold Coast, Queensland, Australia. AI 2007 attracted 194 submissions (full papers) from 34 countries. The review process was held in two stages. In the first stage, the submissions were assessed for their relevance and readability by the Senior Program Committee members. Those submissions that passed the first stage were then reviewed by at least three Program Committee members and independent reviewers. After extensive discussions, the Committee decided to accept 60 regular papers (acceptance rate of 31%) and 44 short papers (acceptance rate of 22.7%). Two regular papers and four short papers were subsequently withdrawn and are not included in the proceedings. AI 2007 featured invited talks from four internationally distinguished researchers, namely, Patrick Doherty, Norman Foo, Richard Hartley and Robert Hecht-Nielsen. They shared their insights and work with us and their contributions to AI 2007 were greatly appreciated. AI 2007 also featured workshops on integrating AI and data-mining, semantic biomedicine and ontology. The short
