Graph Structures For Knowledge Representation And Reasoning

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Graph Structures for Knowledge Representation and Reasoning

Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton
Graph Structures for Knowledge Representation and Reasoning Book PDF

Author : Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton
Publisher : Springer
Page : 139 pages
File Size : 45,8 Mb
Release : 2018-03-29
Category : Computers
ISBN : 9783319781020

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Graph Structures for Knowledge Representation and Reasoning by Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton Pdf

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

Madalina Croitoru,Sebastian Rudolph,Stefan Woltran,Christophe Gonzales
Graph Structures for Knowledge Representation and Reasoning Book PDF

Author : Madalina Croitoru,Sebastian Rudolph,Stefan Woltran,Christophe Gonzales
Publisher : Springer
Page : 220 pages
File Size : 53,7 Mb
Release : 2014-01-21
Category : Computers
ISBN : 9783319045344

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Graph Structures for Knowledge Representation and Reasoning by Madalina Croitoru,Sebastian Rudolph,Stefan Woltran,Christophe Gonzales Pdf

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

Michael Cochez,Madalina Croitoru,Pierre Marquis,Sebastian Rudolph
Graph Structures for Knowledge Representation and Reasoning Book PDF

Author : Michael Cochez,Madalina Croitoru,Pierre Marquis,Sebastian Rudolph
Publisher : Springer Nature
Page : 158 pages
File Size : 43,5 Mb
Release : 2021-04-16
Category : Computers
ISBN : 9783030723088

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Graph Structures for Knowledge Representation and Reasoning by Michael Cochez,Madalina Croitoru,Pierre Marquis,Sebastian Rudolph Pdf

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

Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton
Graph Structures for Knowledge Representation and Reasoning Book PDF

Author : Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton
Publisher : Springer
Page : 155 pages
File Size : 49,5 Mb
Release : 2016-01-02
Category : Computers
ISBN : 9783319287027

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Graph Structures for Knowledge Representation and Reasoning by Madalina Croitoru,Pierre Marquis,Sebastian Rudolph,Gem Stapleton Pdf

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

Madalina Croitoru,Sebastian Rudolph,Nic Wilson,John Howse,Olivier Corby
Graph Structures for Knowledge Representation and Reasoning Book PDF

Author : Madalina Croitoru,Sebastian Rudolph,Nic Wilson,John Howse,Olivier Corby
Publisher : Springer
Page : 215 pages
File Size : 41,8 Mb
Release : 2012-05-27
Category : Computers
ISBN : 9783642294495

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Graph Structures for Knowledge Representation and Reasoning by Madalina Croitoru,Sebastian Rudolph,Nic Wilson,John Howse,Olivier Corby Pdf

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

Michel Chein,Marie-Laure Mugnier
Graph based Knowledge Representation Book PDF

Author : Michel Chein,Marie-Laure Mugnier
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 55,9 Mb
Release : 2008-10-20
Category : Mathematics
ISBN : 9781848002869

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Graph-based Knowledge Representation by Michel Chein,Marie-Laure Mugnier Pdf

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

Nathalie Hernandez,Robert Jäschke,Madalina Croitoru
Graph Based Representation and Reasoning Book PDF

Author : Nathalie Hernandez,Robert Jäschke,Madalina Croitoru
Publisher : Springer
Page : 311 pages
File Size : 50,6 Mb
Release : 2014-07-17
Category : Computers
ISBN : 9783319083896

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Graph-Based Representation and Reasoning by Nathalie Hernandez,Robert Jäschke,Madalina Croitoru Pdf

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.

Conceptual Graphs for Knowledge Representation

Guy W. Mineau,Bernard Moulin
Conceptual Graphs for Knowledge Representation Book PDF

Author : Guy W. Mineau,Bernard Moulin
Publisher : Springer Science & Business Media
Page : 470 pages
File Size : 47,5 Mb
Release : 1993-07-14
Category : Computers
ISBN : 3540569790

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Conceptual Graphs for Knowledge Representation by Guy W. Mineau,Bernard Moulin Pdf

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.

Graph-Based Representation and Reasoning

Tanya Braun,Marcel Gehrke,Tom Hanika,Nathalie Hernandez
Graph Based Representation and Reasoning Book PDF

Author : Tanya Braun,Marcel Gehrke,Tom Hanika,Nathalie Hernandez
Publisher : Springer Nature
Page : 231 pages
File Size : 40,9 Mb
Release : 2021-09-17
Category : Computers
ISBN : 9783030869823

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Graph-Based Representation and Reasoning by Tanya Braun,Marcel Gehrke,Tom Hanika,Nathalie Hernandez Pdf

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.

Graph-Based Representation and Reasoning

Peter Chapman,Dominik Endres,Nathalie Pernelle
Graph Based Representation and Reasoning Book PDF

Author : Peter Chapman,Dominik Endres,Nathalie Pernelle
Publisher : Springer
Page : 201 pages
File Size : 48,6 Mb
Release : 2018-06-07
Category : Computers
ISBN : 9783319913797

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Graph-Based Representation and Reasoning by Peter Chapman,Dominik Endres,Nathalie Pernelle Pdf

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

Ollivier Haemmerlé,Gem Stapleton,Catherine Faron Zucker
Graph Based Representation and Reasoning Book PDF

Author : Ollivier Haemmerlé,Gem Stapleton,Catherine Faron Zucker
Publisher : Springer
Page : 261 pages
File Size : 54,8 Mb
Release : 2016-06-10
Category : Computers
ISBN : 9783319409856

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Graph-Based Representation and Reasoning by Ollivier Haemmerlé,Gem Stapleton,Catherine Faron Zucker Pdf

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.

Graph-Based Representation and Reasoning

Dominik Endres,Mehwish Alam,Diana Şotropa
Graph Based Representation and Reasoning Book PDF

Author : Dominik Endres,Mehwish Alam,Diana Şotropa
Publisher : Springer
Page : 271 pages
File Size : 41,8 Mb
Release : 2019-06-24
Category : Computers
ISBN : 9783030231828

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Graph-Based Representation and Reasoning by Dominik Endres,Mehwish Alam,Diana Şotropa Pdf

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."

Handbook of Knowledge Representation

Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Handbook of Knowledge Representation Book PDF

Author : Frank van Harmelen,Vladimir Lifschitz,Bruce Porter
Publisher : Elsevier
Page : 1034 pages
File Size : 50,5 Mb
Release : 2008-01-08
Category : Computers
ISBN : 0080557023

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Handbook of Knowledge Representation by Frank van Harmelen,Vladimir Lifschitz,Bruce Porter Pdf

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

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges

I. Tiddi,F. Lécué,P. Hitzler
Knowledge Graphs for eXplainable Artificial Intelligence Foundations Applications and Challenges Book PDF

Author : I. Tiddi,F. Lécué,P. Hitzler
Publisher : IOS Press
Page : 314 pages
File Size : 49,5 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9781643680811

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Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by I. Tiddi,F. Lécué,P. Hitzler Pdf

The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Knowledge Graphs and Big Data Processing

Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Knowledge Graphs and Big Data Processing Book PDF

Author : Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Publisher : Springer Nature
Page : 212 pages
File Size : 44,7 Mb
Release : 2020-07-15
Category : Computers
ISBN : 9783030531997

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Knowledge Graphs and Big Data Processing by Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger Pdf

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.