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Conceptual Structures for Discovering Knowledge

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

  • Conference proceedings
  • © 2011

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Editors:
  1. Simon Andrews

    1. Sheffield Hallam University, Sheffield, UK

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  2. Simon Polovina

    1. Sheffield Hallam University, Sheffield, UK

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  3. Richard Hill

    1. University of Derby, Derby, UK

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  4. Babak Akhgar

    1. Sheffield Hallam University, Sheffield, UK

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: ICCS 2011.

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Table of contents (38 papers)

  1. Front Matter

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  2. Invited Papers

    1. Semantic Technologies for Enterprises

      • Frithjof Dau
      Pages 1-18

    2. Utility and Feasibility of Reasoning beyond Decidability in Semantic Technologies

      • Sebastian Rudolph, Michael Schneider
      Pages 19-34

    3. Cognitive Architectures for Conceptual Structures

      • John F. Sowa
      Pages 35-49

  3. Accepted Papers

    1. In-Close2, a High Performance Formal Concept Miner

      • Simon Andrews
      Pages 50-62

    2. A Mapping from Conceptual Graphs to Formal Concept Analysis

      • Simon Andrews, Simon Polovina
      Pages 63-76

    3. Partial Orders and Logical Concept Analysis to Explore Patterns Extracted by Data Mining

      • Peggy Cellier, Sébastien Ferré, Mireille Ducassé, Thierry Charnois
      Pages 77-90

    4. A Buzz and E-Reputation Monitoring Tool for Twitter Based on Galois Lattices

      • Etienne Cuvelier, Marie-Aude Aufaure
      Pages 91-103

    5. Using Generalization of Syntactic Parse Trees for Taxonomy Capture on the Web

      • Boris A. Galitsky, Gábor Dobrocsi, Josep Lluis de la Rosa, Sergei O. Kuznetsov
      Pages 104-117

    6. A.N. Prior’s Ideas on Tensed Ontology

      • David Jakobsen, Peter Øhrstrøm, Henrik Schärfe
      Pages 118-130

    7. Crowdsourced Knowledge: Peril and Promise for Conceptual Structures Research

      • Mary Keeler
      Pages 131-144

    8. Evaluating the Transaction Graph through a Financial Trading Case Study

      • Ivan Launders
      Pages 145-158

    9. Integration of the Controlled Language ACE to the Amine Platform

      • Mohammed Nasri, Adil Kabbaj, Karim Bouzoubaa
      Pages 159-172

    10. Identifying Relations between Medical Concepts by Parsing UMLS® Definitions

      • Ivelina Nikolova, Galia Angelova
      Pages 173-186

    11. Topicality in Logic-Based Ontologies

      • Chiara Del Vescovo, Bijan Parsia, Ulrike Sattler
      Pages 187-200

    12. A Concept Discovery Approach for Fighting Human Trafficking and Forced Prostitution

      • Jonas Poelmans, Paul Elzinga, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov
      Pages 201-214

    13. A Modeling Method and Declarative Language for Temporal Reasoning Based on Fluid Qualities

      • Matei Popovici, Mihnea Muraru, Alexandru Agache, Cristian Giumale, Lorina Negreanu, Ciprian Dobre
      Pages 215-228

    14. Expressing Conceptual Graph Queries from Patterns: How to Take into Account the Relations

      • Camille Pradel, Ollivier Haemmerlé, Nathalie Hernandez
      Pages 229-242

    15. Unix Systems Monitoring with FCA

      • Uta Priss
      Pages 243-256

    16. Supporting Ontology Design through Large-Scale FCA-Based Ontology Restructuring

      • Mohamed Rouane-Hacene, Petko Valtchev, Roger Nkambou
      Pages 257-269
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  1. Conceptual Structures for Discovering Knowledge

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About this book

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.

Editors and Affiliations

  • Sheffield Hallam University, Sheffield, UK

    Simon Andrews, Simon Polovina, Babak Akhgar

  • University of Derby, Derby, UK

    Richard Hill

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