Graph Structures For Knowledge Representation And Reasoning

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Graph Structures for Knowledge Representation and Reasoning

Author : Madalina Croitoru
Publisher : Springer
ISBN 13 : 3319781022
Total Pages : 139 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Madalina Croitoru

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2018-03-29 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2017, held in Melbourne, VIC, Australia, in August 2017, associated with IJCAI 2017, the 26th International Joint Conference on Artificial Intelligence. The 7 revised full papers presented were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background allows to bridge the gap between the different communities.

Graph Structures for Knowledge Representation and Reasoning

Author : Madalina Croitoru
Publisher : Springer
ISBN 13 : 3319045342
Total Pages : 211 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Madalina Croitoru

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2014-01-21 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.

Graph Structures for Knowledge Representation and Reasoning

Author : Michael Cochez
Publisher : Springer Nature
ISBN 13 : 3030723089
Total Pages : 158 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Michael Cochez

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Michael Cochez and published by Springer Nature. This book was released on 2021-04-16 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Graph Structures for Knowledge Representation and Reasoning

Author : Madalina Croitoru
Publisher : Springer
ISBN 13 : 3319287028
Total Pages : 155 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Madalina Croitoru

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2016-01-02 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Aires, Argentina, in July 2015, associated with IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence. The 9 revised full papers presented were carefully reviewed and selected from 10 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: argumentation; conceptual graphs; RDF; and representations of constraint satisfaction problems.

Graph Structures for Knowledge Representation and Reasoning

Author : Madalina Croitoru
Publisher : Springer
ISBN 13 : 3642294499
Total Pages : 209 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Graph Structures for Knowledge Representation and Reasoning by : Madalina Croitoru

Download or read book Graph Structures for Knowledge Representation and Reasoning written by Madalina Croitoru and published by Springer. This book was released on 2012-05-27 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-based Knowledge Representation

Author : Michel Chein
Publisher : Springer Science & Business Media
ISBN 13 : 1848002866
Total Pages : 428 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Graph-based Knowledge Representation by : Michel Chein

Download or read book Graph-based Knowledge Representation written by Michel Chein and published by Springer Science & Business Media. This book was released on 2008-10-20 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-Based Representation and Reasoning

Author : Nathalie Hernandez
Publisher : Springer
ISBN 13 : 3319083899
Total Pages : 311 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Graph-Based Representation and Reasoning by : Nathalie Hernandez

Download or read book Graph-Based Representation and Reasoning written by Nathalie Hernandez and published by Springer. This book was released on 2014-07-17 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Graph-Based Representation and Reasoning

Author : Tanya Braun
Publisher : Springer Nature
ISBN 13 : 3030869822
Total Pages : 231 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Graph-Based Representation and Reasoning by : Tanya Braun

Download or read book Graph-Based Representation and Reasoning written by Tanya Braun and published by Springer Nature. This book was released on 2021-09-17 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 26th International Conference on Conceptual Structures, ICCS 2021, held virtually in September 2021. The 12 full papers and 4 short papers presented were carefully reviewed and selected from 25 submissions. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts. The papers are organized in the following topical sections: applications of conceptual structures; theory on conceptual structures, and mining conceptual structures.

Conceptual Graphs for Knowledge Representation

Author : Guy W. Mineau
Publisher : Springer Science & Business Media
ISBN 13 : 9783540569794
Total Pages : 470 pages
Book Rating : 4.5/5 (697 download)

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Book Synopsis Conceptual Graphs for Knowledge Representation by : Guy W. Mineau

Download or read book Conceptual Graphs for Knowledge Representation written by Guy W. Mineau and published by Springer Science & Business Media. This book was released on 1993-07-14 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Graphs

Author : Aidan Hogan
Publisher : Springer Nature
ISBN 13 : 3031019180
Total Pages : 247 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Knowledge Graphs by : Aidan Hogan

Download or read book Knowledge Graphs written by Aidan Hogan and published by Springer Nature. This book was released on 2022-06-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Conceptual Structures

Author : John F. Sowa
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Conceptual Structures by : John F. Sowa

Download or read book Conceptual Structures written by John F. Sowa and published by Addison Wesley Publishing Company. This book was released on 1984 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book combines the AI and cognitive sciences approaches. In combing insights from each of the separate fields, the book gives a unified view of knowledge representation." -- Preface.

Graph-Based Representation and Reasoning

Author : Peter Chapman
Publisher : Springer
ISBN 13 : 3319913794
Total Pages : 201 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Graph-Based Representation and Reasoning by : Peter Chapman

Download or read book Graph-Based Representation and Reasoning written by Peter Chapman and published by Springer. This book was released on 2018-06-07 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 23rd International Conference on Conceptual Structures, ICCS 2018, held in Edinburgh, UK, in June 2018. The 10 full papers, 2 short papers and 2 posters presented were carefully reviewed and selected from 21 submissions. They are organized in the following topical sections: graph- and concept-based inference; computer- human interaction and human cognition; and graph visualization.

Graph-Based Representation and Reasoning

Author : Ollivier Haemmerlé
Publisher : Springer
ISBN 13 : 3319409859
Total Pages : 261 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Graph-Based Representation and Reasoning by : Ollivier Haemmerlé

Download or read book Graph-Based Representation and Reasoning written by Ollivier Haemmerlé and published by Springer. This book was released on 2016-06-10 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22th International Conference on Conceptual Structures, ICCS 2016, held in Annecy, France, in July 2016. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They are organized around the following topical sections: time representation; graphs and networks; formal concept analysis; ontologies and linked data.

Handbook of Knowledge Representation

Author : Frank van Harmelen
Publisher : Elsevier
ISBN 13 : 9780080557021
Total Pages : 1034 pages
Book Rating : 4.5/5 (57 download)

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Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen and published by Elsevier. This book was released on 2008-01-08 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter * Handle qualitative and uncertain information * Improve computational tractability to solve your problems easily

Graph-Based Representation and Reasoning

Author : Dominik Endres
Publisher : Springer
ISBN 13 : 3030231828
Total Pages : 271 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Graph-Based Representation and Reasoning by : Dominik Endres

Download or read book Graph-Based Representation and Reasoning written by Dominik Endres and published by Springer. This book was released on 2019-06-24 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 24th International Conference on Conceptual Structures, ICCS 2019, held in Marburg, Germany, in July 2019. The 14 full papers and 6 short papers presented were carefully reviewed and selected from 29 submissions. The proceedings also include one of the two invited talks. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts. ICCS 2019's theme was entitled "Graphs in Human and Machine Cognition."