Artificial Intelligence: Methodology, Systems, and Applications

14th International Conference, AIMSA 2010, Varna, Bulgaria, September 8-10. 2010. Proceedings

  • Darina Dicheva
  • Danail Dochev
Conference proceedings AIMSA 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6304)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6304)

Table of contents

  1. Front Matter
  2. Knowledge Representation and Reasoning

    1. Khalil Ben Mohamed, Michel Leclère, Marie-Laure Mugnier
      Pages 1-10
    2. Raman Kazhamiakin, Volha Kerhet, Massimo Paolucci, Marco Pistore, Matthias Wagner
      Pages 11-20
    3. Elena Botoeva, Diego Calvanese, Mariano Rodriguez-Muro
      Pages 21-31
    4. Ah-Lian Kor, Brandon Bennett
      Pages 32-41
    5. Vladimir Kurbalija, Miloš Radovanović, Zoltan Geler, Mirjana Ivanović
      Pages 42-51
  3. Intelligent Techniques for Adaptation, Personalization, and Recommendation

    1. Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco de Gemmis, Pierpaolo Basile, Giovanni Semeraro
      Pages 52-60
    2. Yuan Wang, Jie Zhang, Julita Vassileva
      Pages 61-70
    3. Ondrej Ševce, Jozef Tvarožek, Mária Bieliková
      Pages 71-80
  4. Constraints and Search

    1. Fabio Parisini, Michele Lombardi, Michela Milano
      Pages 91-100
    2. Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli, Floriana Esposito
      Pages 111-120
  5. Machine Learning, Data Mining, and Information Retrieval

    1. Barbara Bazzanella, Heiko Stoermer, Paolo Bouquet
      Pages 121-130
    2. Claudiu Musat, Stefan Trausan-Matu
      Pages 131-140
    3. Angela Fogarolli, George Giannakopoulos, Heiko Stoermer
      Pages 141-150
    4. Brent Martin, Marina Filipovic, Lara Rennie, David Shaw
      Pages 151-160
    5. Evgueni Smirnov, Nikolay Nikolaev, Georgi Nalbantov
      Pages 161-170
  6. AI in Education

    1. Mihai Dascalu, Traian Rebedea, Stefan Trausan-Matu
      Pages 191-200
    2. Dimitrios Sklavakis, Ioannis Refanidis
      Pages 201-210
  7. Applications

    1. Svetla Boytcheva, Galia Angelova, Ivelina Nikolova, Elena Paskaleva, Dimitar Tcharaktchiev, Nadya Dimitrova
      Pages 231-240
    2. Ieroham S. Baruch, Irving P. de la Cruz, Boyka Nenkova
      Pages 241-250
    3. Dariusz Frejlichowski, Paweł Forczmański
      Pages 251-260
  8. Posters

    1. Joana Hois, Oliver Kutz, Till Mossakowski, John Bateman
      Pages 263-264
    2. Tatyana Ivanova, Rumen Andreev, Valentina Terzieva
      Pages 265-266
    3. Anna Jurek, Yaxin Bi, Shengli Wu, Chris Nugent
      Pages 267-268
    4. Mariana Damova, Svetoslav Petrov, Kiril Simov
      Pages 269-270
    5. Lillian N Cassel, Siva Kumar Inguva, Jan Buzydlowski
      Pages 283-284
  9. Back Matter

About these proceedings


The 14th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2010) was held in Varna, Bulgaria, during September 8–10, 2010. The AIMSA conference series has provided a biennial forum for the presen- tion of artificial intelligence research and development since 1984. The conference covers the full range of topics in artificial intelligence (AI) and related disciplines and provides an ideal forum for international scientific exchange between Central/Eastern Europe and the rest of the world. The 2010 AIMSA edition continued this tradition. For AIMSA 2010, we decided to place special emphasis on the application and leverage of AI technologies in the context of knowledge societies where knowledge creation, accessing, acquiring, and sharing empower individuals and communities. A number of AI techniques play a key role in responding to these challenges. AI is - tensively used in the development of systems for effective management and flexible and personalized access to large knowledge bases, in the Semantic Web technologies that enable sharing and reuse of and reasoning over semantically annotated resources, in the emerging social Semantic Web applications that aid humans to collaboratively build semantics, in the construction of intelligent environments for supporting (human and agent) learning, etc. In building such intelligent applications, AI techniques are typically combined with results from other disciplines such as the social sciences, distributed systems, databases, digital libraries, information retrieval, service-oriented applications, etc.


ambient intelligence artificial intelligence computer vision data mining distributed ai hci information retrieval knowledge knowledge presentation knowledge representation learning machine learning robotics semantic web visualization

Editors and affiliations

  • Darina Dicheva
    • 1
  • Danail Dochev
    • 2
  1. 1.Winston-Salem State UniversityWinston SalemUSA
  2. 2.Institute of Information TechnologiesBulgarian Academy of SciencesSofiaBulgaria

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-15430-0
  • Online ISBN 978-3-642-15431-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site