TY - BOOK ID - 7540788 TI - Conceptual structures : from information to intelligence : 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010 : proceedings AU - Croitoru, Madalina. AU - Ferre, Sebastien. AU - Lukose, Dickson. AU - International Conference on Conceptual Structures PY - 2010 SN - 364214196X 3642141978 PB - Berlin : Springer, DB - UniCat KW - Conceptual structures (Information theory) KW - Engineering & Applied Sciences KW - Mechanical Engineering KW - Computer Science KW - Mechanical Engineering - General KW - Information Technology KW - Artificial Intelligence KW - Computer science. KW - Programming languages (Electronic computers). KW - Mathematical logic. KW - Database management. KW - Data mining. KW - Artificial intelligence. KW - Pattern recognition. KW - Computer Science. KW - Artificial Intelligence (incl. Robotics). KW - Data Mining and Knowledge Discovery. KW - Programming Languages, Compilers, Interpreters. KW - Database Management. KW - Mathematical Logic and Formal Languages. KW - Pattern Recognition. KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Algebra of logic KW - Logic, Universal KW - Mathematical logic KW - Symbolic and mathematical logic KW - Symbolic logic KW - Mathematics KW - Algebra, Abstract KW - Metamathematics KW - Set theory KW - Syllogism KW - Computer languages KW - Computer program languages KW - Computer programming languages KW - Machine language KW - Languages, Artificial KW - Informatics KW - Science KW - Optical pattern recognition. KW - Artificial Intelligence. KW - Optical data processing KW - Pattern perception KW - Perceptrons KW - Visual discrimination UR - https://www.unicat.be/uniCat?func=search&query=sysid:7540788 AB - th The 18 International Conference on Conceptual Structures (ICCS 2010) was the latest in a series of annual conferences that have been held in Europe, A- tralia, and North America since 1993. The focus of the conference has been the representation and analysis of conceptual knowledge for research and practical application. ICCS brings together researchers and practitioners in information and computer sciences as well as social science to explore novel ways that c- ceptual structures can be deployed. Arising from the research on knowledge representation and reasoning with conceptual graphs, over the years ICCS has broadened its scope to include in- vations from a wider range of theories and related practices, among them other forms of graph-based reasoning systems like RDF or existential graphs, formal concept analysis, Semantic Web technologies, ontologies, concept mapping and more. Accordingly, ICCS represents a family of approaches related to conc- tualstructuresthatbuild onthesuccesseswithtechniquesderivedfromarti?cial intelligence, knowledge representation and reasoning, applied mathematics and lattice theory, computational linguistics, conceptual modeling and design, d- grammatic reasoning and logic, intelligent systems and knowledge management. The ICCS 2010 theme “From Information to Intelligence” hints at unve- ing the reasoning capabilities of conceptual structures. Indeed, improvements in storage capacity and performance of computing infrastructure have also - fected the nature of knowledge representation and reasoning (KRR) systems, shifting their focus toward representational power and execution performance. Therefore, KRR research is now faced with a challenge of developing knowledge representation and reasoning structures optimized for such reasonings. ER -