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|a Conceptual Structures for Discovering Knowledge
|h [electronic resource] :
|b 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011, Proceedings /
|c edited by Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar.
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|a 1st ed. 2011.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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|a Lecture Notes in Artificial Intelligence ;
|v 6828
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|a 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.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Artificial intelligence.
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| 650 |
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|a Database management.
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| 650 |
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|a Data mining.
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| 650 |
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|a Mathematical logic.
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|a Akhgar, Babak.
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