04570nam 22007935 450 99646575450331620200629230213.03-642-22688-410.1007/978-3-642-22688-5(CKB)2670000000099856(SSID)ssj0000530775(PQKBManifestationID)11364235(PQKBTitleCode)TC0000530775(PQKBWorkID)10570018(PQKB)10443483(DE-He213)978-3-642-22688-5(MiAaPQ)EBC3066996(PPN)156309246(EXLCZ)99267000000009985620110718d2011 u| 0engurnn|008mamaatxtccrConceptual Structures for Discovering Knowledge[electronic resource] 19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011, Proceedings /edited by Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar1st ed. 2011.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2011.1 online resource (XIV, 424 p.) Lecture Notes in Artificial Intelligence ;6828Bibliographic Level Mode of Issuance: Monograph3-642-22687-6 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.Lecture Notes in Artificial Intelligence ;6828Artificial intelligenceDatabase managementData miningMathematical logicPattern recognitionData structures (Computer science)Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XData Storage Representationhttps://scigraph.springernature.com/ontologies/product-market-codes/I15025Artificial 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.006.3Andrews Simonedthttp://id.loc.gov/vocabulary/relators/edtPolovina Simonedthttp://id.loc.gov/vocabulary/relators/edtHill Richardedthttp://id.loc.gov/vocabulary/relators/edtAkhgar Babakedthttp://id.loc.gov/vocabulary/relators/edtInternational Conference on Conceptual StructuresBOOK996465754503316Conceptual Structures for Discovering Knowledge2595061UNISA