Reasoning Web. Declarative Artificial Intelligence

Reasoning Web. Declarative Artificial Intelligence

Author: Marco Manna

Publisher: Springer Nature

Published: 2020-10-17

Total Pages: 255

ISBN-13: 303060067X

DOWNLOAD EBOOK

This volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020. The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.


Reasoning Web. Declarative Artificial Intelligence

Reasoning Web. Declarative Artificial Intelligence

Author: Mantas Šimkus

Publisher: Springer Nature

Published: 2022-01-31

Total Pages: 194

ISBN-13: 3030954811

DOWNLOAD EBOOK

The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was again “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.


Reasoning Web. Causality, Explanations and Declarative Knowledge

Reasoning Web. Causality, Explanations and Declarative Knowledge

Author: Leopoldo Bertossi

Publisher: Springer Nature

Published: 2023-04-27

Total Pages: 219

ISBN-13: 303131414X

DOWNLOAD EBOOK

The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.


Knowledge Representation, Reasoning and Declarative Problem Solving

Knowledge Representation, Reasoning and Declarative Problem Solving

Author: Chitta Baral

Publisher: Cambridge University Press

Published: 2003-01-09

Total Pages: 546

ISBN-13: 1139436449

DOWNLOAD EBOOK

Baral shows how to write programs that behave intelligently, by giving them the ability to express knowledge and to reason. This book will appeal to practising and would-be knowledge engineers wishing to learn more about the subject in courses or through self-teaching.


Artificial Intelligence Logic and Applications

Artificial Intelligence Logic and Applications

Author: Songmao Zhang

Publisher: Springer Nature

Published: 2023-12-16

Total Pages: 459

ISBN-13: 9819978696

DOWNLOAD EBOOK

This book constitutes the proceedings of the Third International Conference, AILA 2023, held in Changchun, China, during August 5–6, 2023. The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions. This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications.


Reasoning Web. Semantic Technologies for Information Systems

Reasoning Web. Semantic Technologies for Information Systems

Author: Sergio Tessaris

Publisher: Springer Science & Business Media

Published: 2009-08-17

Total Pages: 364

ISBN-13: 3642037534

DOWNLOAD EBOOK

This book contains a collection of revised tutorial papers based on lectures given by researchers at the 5th International Summer School on the Reasoning Web. It introduces semantic web methods and research issues with a particular emphasis on reasoning.


Rules and Reasoning

Rules and Reasoning

Author: Sotiris Moschoyiannis

Publisher: Springer Nature

Published: 2021-12-02

Total Pages: 298

ISBN-13: 3030911675

DOWNLOAD EBOOK

This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2021, held in Leuven, Belgium, during September, 2021. This is the 5th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 17 full research papers presented together with 2 short technical communications papers and 2 abstracts of invited papers were carefully reviewed and selected from 39 submissions.


Rules and Reasoning

Rules and Reasoning

Author: Anna Fensel

Publisher: Springer Nature

Published: 2023-11-15

Total Pages: 269

ISBN-13: 3031450728

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18–20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems.


Rules and Reasoning

Rules and Reasoning

Author: Víctor Gutiérrez-Basulto

Publisher: Springer Nature

Published: 2020-08-18

Total Pages: 187

ISBN-13: 3030579778

DOWNLOAD EBOOK

This book constitutes the proceedings of the International Joint Conference on Rules and Reasoning, RuleML+RR 2020, held in Oslo, Norway, during June-July 2020*. This is the 4th conference of a new series, joining the efforts of two existing conference series, namely “RuleML” (International Web Rule Symposium) and “RR” (Web Reasoning and Rule Systems). The 7 full research papers presented together with 6 short technical communications papers were carefully reviewed and selected from 30 submissions. *The conference was held virtually due to the COVID-19 pandemic.