graph-based-knowledge-representation

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Graph Based Knowledge Representation

Author : Michel Chein
ISBN : 9781848002869
Genre : Mathematics
File Size : 27. 81 MB
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This book provides a de?nition 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.

Graph Structures For Knowledge Representation And Reasoning

Author : Madalina Croitoru
ISBN : 9783642294495
Genre : Computers
File Size : 50. 77 MB
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This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011, held in Barcelona, Spain, in July 2011 as satellite event of IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence. The 7 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 12 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques and investigate further developments of knowledge representation and reasoning graph based techniques. Topics addressed are such as: bayesian networks, semantic networks, conceptual graphs, formal concept analysis, cp-nets, gai-nets, euler diagrams, existential graphs all of which have been successfully used in a number of applications (semantic Web, recommender systems, bioinformatics etc.).

Graph Structures For Knowledge Representation And Reasoning

Author : Michael Cochez
ISBN : 9783030723088
Genre : Computers
File Size : 45. 79 MB
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This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.

Conceptual Graphs For Knowledge Representation

Author : Guy W. Mineau
ISBN : 3540569790
Genre : Computers
File Size : 34. 17 MB
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Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.

Conceptual Structures Knowledge Architectures For Smart Applications

Author : Uta Priss
ISBN : 9783540736806
Genre : Computers
File Size : 90. 88 MB
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Researchers and professionals in the relevant fields will find this book a must-read, as it defines the leading edge of current research into conceptual structures. It constitutes the refereed proceedings of the 15th International Conference on Conceptual Structures, held in Sheffield, UK in July 2007. With almost 50 papers contained in its 500 pages, it includes a special focus on the application of conceptual structures in business and technological settings and is organized into topical sections for ease of reference.

Knowledge Graph And Semantic Computing Language Knowledge And Intelligence

Author : Juanzi Li
ISBN : 9789811073595
Genre : Computers
File Size : 60. 20 MB
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This book constitutes the refereed proceedings of the Second China Conference on Knowledge Graph and Semantic Computing, CCKS 2017, held in Chengdu, China, in August 2017. The 11 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers cover wide research fields including the knowledge graph, the Semantic Web, linked data, NLP, knowledge representation, graph databases.

Knowledge Graphs And Big Data Processing

Author : Valentina Janev
ISBN : 9783030531997
Genre :
File Size : 40. 88 MB
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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Graph Based Representation And Reasoning

Author : Nathalie Hernandez
ISBN : 9783319083896
Genre : Computers
File Size : 36. 10 MB
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This book constitutes the proceedings of the 21st International Conference on Conceptual Structures, ICCS 2014, held in Iaşi, Romania, in July 2014. The 17 regular papers and 6 short papers presented in this volume were carefully reviewed and selected from 40 and 10 submissions, respectively. The topics covered are: conceptual structures, knowledge representation, reasoning, conceptual graphs, formal concept analysis, semantic Web, information integration, machine learning, data mining and information retrieval.

Mdata A New Knowledge Representation Model

Author : Yan Jia
ISBN : 9783030715908
Genre :
File Size : 58. 3 MB
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Advances In Intelligent Systems

Author : Francesco Carlo Morabito
ISBN : 9051993552
Genre : Computers
File Size : 40. 16 MB
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Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.

Knowledge Representation And Metaphor

Author : Eileen Cornell Way
ISBN : 1871516390
Genre : Technology & Engineering
File Size : 48. 21 MB
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This is an analysis of the philosophical assumptions and implications of current artificial intelligence (AI) representation schemes, particularly those dealing with the underlying cognitive processes of language. The work attacks the traditional, logic-based view of language and knowledge representation and argues that cognitive mechanisms provide a better model for structuring knowledge that that of first-order logic. The author explains her dynamic type hierarchy theory, a new approach to metaphor, language and knowledge representation.

A Massively Parallel Architecture For Associative Based Artificial Intelligence

Author : James D. Roberts
ISBN : UCAL:X52238
Genre : Computer algorithms
File Size : 69. 21 MB
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Graph Transformation

Author :
ISBN : UOM:39015056671848
Genre : Computer science
File Size : 46. 8 MB
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Knowledge Graph

Author : Guilin Qi
ISBN : 981108176X
Genre : Computers
File Size : 31. 79 MB
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This book provides a systematic and comprehensive overview of knowledge graph, covering all aspects including the theoretical foundations, key techniques and methodologies, and various typical applications. Special focus is given to the practical methods for knowledge graph construction and management, especially methods for constructing knowledge graphs from texts and from Encyclopedia, and methods for knowledge fusion and reasoning. It can serve as reference book for researchers and students new to knowledge graph. From this book, the readers will learn how to construct large-scale knowledge graphs from different sources, how to manage multiple knowledge graphs and do reasoning with a knowledge graph. Some basic knowledge on discrete mathematics, probability and statistics, data structure, and databases is required to understand the book content well.

Conceptual Structures Knowledge Visualization And Reasoning

Author : Peter W. Eklund
ISBN : 9783540705956
Genre : Computers
File Size : 89. 19 MB
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This volumecontainsthe proceedingsof ICCS 2008,the 16thInternationalC- ference on Conceptual Structures (ICCS). The focus of the ICCS conference is the representation and analysis of conceptual knowledge. ICCS brings together researchers to explore novel ways that Conceptual Structures can be used. ConceptualStructuresaremotivated byC.S. Peirce'sExistentialGraphsand were popularized by J.F. Sowa in the 1980s. Over 16 years ICCS has increased its scope to include innovations from a range of theories and related Conceptual Structure practices, among them formal concept analysis and ontologies. The- fore, ICCS presents a family of Conceptual Structure approaches that build on techniques derived from arti?cial intelligence, knowledge representation, applied mathematics and lattice theory, computational linguistics, conceptual modeling, intelligent systems and knowledge management. This volume's title –Knowledge Visualization and Reasoning – is intended to highlight the shared origins of Conceptual Structures with other visual forms of reasoning. J. Howse's invited survey paper “Diagrammatic Reasoning Systems” sets the scene for this theme, and severalother papers in the volume extend and reinforce these connections. The regular papers in this LNAI volume are split between theoretical and appliedcontributions.ICCShas traditionsinpracticalsystems sothe conference includestheone-dayConceptualStructuresToolInteroperabilityWorkshop(CS- TIW 2008) – published as a separate proceedings in the CEUR-WS. Both ICCS 2008 workshop and conference programhighlight results achieved with a variety of Conceptual Structures-based software.

Design Theory And Methodology Dtm 92

Author : Dean Taylor
ISBN : UOM:39015029166975
Genre : Technology & Engineering
File Size : 49. 73 MB
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Machine Learning

Author : Claude Sammut
ISBN : CORNELL:31924097434520
Genre : Computers
File Size : 50. 35 MB
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Proceedings of the annual International Conferences on Machine Learning, 1988-present. Current volume: ICML 2002: 19th International Conference on Machine Learning. Submissions are expected that describe empirical, theoretical, and cognitive-modeling research in all areas of machine learning. Submissions that present algorithms for novel learning tasks, interdisciplinary research involving machine learning, or innovative applications of machine learning techniques to challenging, real-world problems are especially encouraged.

Ijcai 01

Author : Bernhard Nebel
ISBN : 1558607773
Genre : Computers
File Size : 23. 12 MB
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Proceedings Of The International Joint Conference On Artificial Intelligence

Author :
ISBN : UOM:39015049127577
Genre : Artificial intelligence
File Size : 72. 61 MB
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Advances In Knowledge Discovery And Data Mining

Author :
ISBN : UOM:39015047920973
Genre : Data mining
File Size : 56. 36 MB
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