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Conceptual Structures for Discovering Knowledge

20th International Conference on Conceptual Structures, ICCS 2013, Mumbay, India, January 10-12, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Heather D. Pfeiffer

    1. Akamai Physics, Inc., Las Cruces, Mexico

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  2. Dmitry I. Ignatov

    1. Higher School of Economics, National Research University, Moscow, Russia

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  3. Jonas Poelmans

    1. Katholieke Universiteit Leuven, Leuven, Belgium

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  4. Nagarjuna Gadiraju

    1. Tata Institute of Fundamental Reseach, Mumbay, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7735)

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

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Conference proceedings info: ICCS 2013.

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Table of contents (25 papers)

  1. Front Matter

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  2. Invited Talks

    1. Conceptual Structures for STEM Data

      • Su White
      Pages 1-21

    2. Relating Language to Perception, Action, and Feelings

      • Arun K. Majumdar, John F. Sowa
      Pages 22-28

    3. PurposeNet: A Knowledge Base Organized around Purpose

      • Rajeev Sangal, Soma Paul, P. Kiran Mayee
      Pages 29-30

  3. Accepted Papers

    1. Classical Syllogisms in Logic Teaching

      • Peter Øhrstrøm, Ulrik Sandborg-Petersen, Steinar Thorvaldsen, Thomas Ploug
      Pages 31-43

    2. A Model to Compare and Manipulate Situations Represented as Semantically Labeled Graphs

      • MichaÅ‚ K. Szczerbak, Ahmed Bouabdallah, François Toutain, Jean-Marie Bonnin
      Pages 44-57

    3. Analyzing Clusters and Constellations from Untwisting Shortened Links on Twitter Using Conceptual Graphs

      • Emma L. Tonkin, Heather D. Pfeiffer, Gregory J. L. Tourte
      Pages 58-74

    4. Taking SPARQL 1.1 Extensions into Account in the SWIP System

      • Fabien Amarger, Ollivier Haemmerlé, Nathalie Hernandez, Camille Pradel
      Pages 75-89

    5. System Architecture to Implement a Conceptual Graphs Storage in an RDF Quad Store

      • Khalil Ben Mohamed, Benjamin Chu Min Xian, Dickson Lukose
      Pages 90-105

    6. Medical Archetypes and Information Extraction Templates in Automatic Processing of Clinical Narratives

      • Ivelina Nikolova, Galia Angelova, Dimitar Tcharaktchiev, Svetla Boytcheva
      Pages 106-120

    7. Using Conceptual Structures in the Design of Computer-Based Assessment Software

      • Uta Priss, Nils Jensen, Oliver Rod
      Pages 121-134

    8. Modeling Ontological Structures with Type Classes in Coq

      • Richard Dapoigny, Patrick Barlatier
      Pages 135-152

    9. Parse Thicket Representation for Multi-sentence Search

      • Boris A. Galitsky, Sergei O. Kuznetsov, Daniel Usikov
      Pages 153-172

    10. FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms

      • Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Anastasya A. Bezzubtseva, Andrey V. Konstantinov, Jonas Poelmans
      Pages 173-192

    11. Toward a Peircean Theory of Human Learning: Revealing the Misconception of Belief Revision

      • Mary Keeler, Uta Priss
      Pages 193-209

    12. The First-Order Logical Environment

      • Robert E. Kent
      Pages 210-230

    13. Designing Learning to Research the Formal Concept Analysis of Transactional Data

      • Martin Watmough, Simon Polovina, Simon Andrews
      Pages 231-238

    14. Cross-Domain Inference Using Conceptual Graphs in Context of Laws of Science

      • Shreya Inamdar
      Pages 239-244

    15. Summarizing Conceptual Graphs for Automatic Summarization Task

      • Sabino Miranda-Jiménez, Alexander Gelbukh, Grigori Sidorov
      Pages 245-253

    16. Logical Form vs. Logical Form: How Does the Difference Matter for Semantic Computationality?

      • Prakash Mondal
      Pages 254-265
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Other volumes

  1. Conceptual Structures for STEM Research and Education

Keywords

About this book

This book constitutes the proceedings of the 20th International Conference on Conceptual Structures, ICCS 2013, held in Mumbai, India, in January 2013. The 22 full papers presented were carefully reviewed and selected from 43 submissions 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 modeling, information and Web technologies, user modeling, and knowledge management.

Editors and Affiliations

  • Akamai Physics, Inc., Las Cruces, Mexico

    Heather D. Pfeiffer

  • Higher School of Economics, National Research University, Moscow, Russia

    Dmitry I. Ignatov

  • Katholieke Universiteit Leuven, Leuven, Belgium

    Jonas Poelmans

  • Tata Institute of Fundamental Reseach, Mumbay, India

    Nagarjuna Gadiraju

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