Read BookGraph-based Knowledge Representation Computational Foundations of Conceptual Graphs (Advanced Information and Knowledge Processing)

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Book Details :
Published on: 2008-10-08
Released on:
Original language: English

This book provides a denition and study of a knowledge representation and r- soning formalism stemming from conceptual graphs, while focusing on the com- tational properties of this formalism. Knowledge can be symbolically represented in many ways. The knowledge representation and reasoning formalism presented here is a graph formalism – knowledge is represented by labeled graphs, in the graph theory sense, and r- soning mechanisms are based on graph operations, with graph homomorphism at the core. This formalism can thus be considered as related to semantic networks. Since their conception, semantic networks have faded out several times, but have always returned to the limelight. They faded mainly due to a lack of formal semantics and the limited reasoning tools proposed. They have, however, always rebounded - cause labeled graphs, schemas and drawings provide an intuitive and easily und- standable support to represent knowledge. This formalism has the visual qualities of any graphic model, and it is logically founded. This is a key feature because logics has been the foundation for knowledge representation and reasoning for millennia. The authors also focus substantially on computational facets of the presented formalism as they are interested in knowledge representation and reasoning formalisms upon which knowledge-based systems can be built to solve real problems. Since object structures are graphs, naturally graph homomorphism is the key underlying notion and, from a computational viewpoint, this moors calculus to combinatorics and to computer science domains in which the algorithmicqualitiesofgraphshavelongbeenstudied,asindatabasesandconstraint networks. 18. The WEKA Data Mining Software: an Update More than twelve years have elapsed since the first public release of WEKA. In that time the software has been rewritten entirely from scratch evolved substantially ... MSc in Computer Science - Student projects Project Supervisors Parts Description; Analysis and verification of stochastic hybrid systems: Alessandro Abate: Stochastic Hybrid Systems (SHS) are dynamical models ... Artificial Intelligence - National Open University of Nigeria national open university of nigeria school of science and technology course code: cit478 course title: artificial intelligence Natural Language Processing - Research at Google Natural Language Processing (NLP) research at Google focuses on algorithms that apply at scale across languages and across domains. Publications Page - Cambridge Machine Learning Group [ full BibTeX file] 2017 2016. Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin and Daniel Tarlow. DeepCoder: Learning to write programs. International Journal of Engineering Research and ... International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. Dr. Reza Ghanadan - Defense Advanced Research Projects Agency Dr. Reza Ghanadan joined DARPA in 2013 as a program manager in the Defense Sciences Office. He has interests in data analytics autonomy machine learning and ... Theses and Dissertations Available from ProQuest Theses ... Theses and Dissertations Available from ProQuest. Full text is available to Purdue University faculty staff and students on campus through this site. Cognitive Systems Laboratory JUDEA PEARL - COGNITIVE SYSTEMS LABORATORY: PUBLICATIONS SUBMISSIONS AND WORKING PAPERS. Research was partially supported by grants from AFOSR NIH NSF and ONR (MURI). What is Twitter a social network or a news media? Twitter a microblogging service less than three years old commands more than 41 million users as of July 2009 and is growing fast. Twitter users tweet about any ...
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