© 2011

Conceptual Structures for Discovering Knowledge

19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011. Proceedings

  • Simon Andrews
  • Simon Polovina
  • Richard Hill
  • Babak Akhgar
Conference proceedings ICCS 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6828)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6828)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Accepted Papers

    1. Simon Andrews, Simon Polovina
      Pages 63-76
    2. Peggy Cellier, Sébastien Ferré, Mireille Ducassé, Thierry Charnois
      Pages 77-90
    3. Etienne Cuvelier, Marie-Aude Aufaure
      Pages 91-103
    4. Boris A. Galitsky, Gábor Dobrocsi, Josep Lluis de la Rosa, Sergei O. Kuznetsov
      Pages 104-117
    5. David Jakobsen, Peter Øhrstrøm, Henrik Schärfe
      Pages 118-130
    6. Mohammed Nasri, Adil Kabbaj, Karim Bouzoubaa
      Pages 159-172
    7. Chiara Del Vescovo, Bijan Parsia, Ulrike Sattler
      Pages 187-200
    8. Jonas Poelmans, Paul Elzinga, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov
      Pages 201-214
    9. Matei Popovici, Mihnea Muraru, Alexandru Agache, Cristian Giumale, Lorina Negreanu, Ciprian Dobre
      Pages 215-228
    10. Camille Pradel, Ollivier Haemmerlé, Nathalie Hernandez
      Pages 229-242
    11. Uta Priss
      Pages 243-256
    12. Mohamed Rouane-Hacene, Petko Valtchev, Roger Nkambou
      Pages 257-269

About these proceedings


This book constitutes the proceedings of the 19th International Conference on Conceptual Structures, ICCS 2011, held in Derby, UK, in July 2011. The 18 full papers and 4 short papers presented together with 12 workshop papers were carefully reviewed and selected for inclusion in the book. The volume also contains 3 invited talks.
ICCS focuses on the useful representation and analysis of conceptual knowledge with research and business applications. It advances the theory and practice in connecting the user's conceptual approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. Conceptual structures (CS) represent a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modelling, information and Web technologies, user modelling, and knowledge management. Two of the workshops contained in this volume cover CS and knowledge discovery in under-traversed domains and in task specific information retrieval. The third addresses CD in learning, teaching and assessment.


concept analysis data mining natural language processing pattern learning wireless mesh networks

Editors and affiliations

  • Simon Andrews
    • 1
  • Simon Polovina
    • 1
  • Richard Hill
    • 2
  • Babak Akhgar
    • 1
  1. 1.Sheffield Hallam UniversitySheffieldUK
  2. 2.University of DerbyDerbyUK

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