Conceptual Structures for Discovering Knowledge 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011, Proceedings / [electronic resource] :
edited by Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar.
- 1st ed. 2011.
- XIV, 424 p. online resource.
- Lecture Notes in Artificial Intelligence, 6828 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 6828 .
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.
9783642226885
10.1007/978-3-642-22688-5 doi
Artificial intelligence. Database management. Data mining. Machine theory. Pattern recognition systems. Information retrieval. Computer architecture. Artificial Intelligence. Database Management. Data Mining and Knowledge Discovery. Formal Languages and Automata Theory. Automated Pattern Recognition. Data Storage Representation.