Conceptual Structures for Discovering Knowledge [electronic resource] : 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011, Proceedings /
International Conference on Conceptual StructuresCorporate Author
ICCS 2011(2011 :Derby, England)
International Conference on Conceptual Structures
Andrews, Simon.editor.
Polovina, Simon.editor.
Hill, Richard.editor.
Akhgar, Babak.editor.
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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
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.
Artificial intelligence.
Database management.
Data mining.
Mathematical logic.
Pattern recognition.
Data structures (Computer science).
Artificial Intelligence.
Database Management.
Data Mining and Knowledge Discovery.
Mathematical Logic and Formal Languages.
Pattern Recognition.
Data Storage Representation.

Lecture Notes in Computer Science