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Rules and Reasoning
  • Language: en
  • Pages: 269

Rules and Reasoning

This book constitutes the proceedings of the 8th International Joint Conference on Rules and Reasoning, RuleML+RR 2024, held in Bucharest, Romania, during September 16-18, 2024. The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 35 submissions. The RuleML+RR symposia were devoted to disseminating research, applications, languages, and standards for rule technologies, with attention to both theoretical and practical developments, to challenging new ideas and to industrial applications.

Description Logic, Theory Combination, and All That
  • Language: en
  • Pages: 673

Description Logic, Theory Combination, and All That

  • Type: Book
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  • Published: 2019-06-25
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  • Publisher: Springer

This Festschrift has been put together on the occasion of Franz Baader's 60th birthday to celebrate his fundamental and highly influential scientific contributions. The 30 papers in this volume cover several scientific areas that Franz Baader has been working on during the last three decades, including description logics, term rewriting, and the combination of decision procedures. We hope that readers will enjoy the articles gathered in Franz's honour and appreciate the breadth and depth of his favourite areas of computer science.

Frontiers of Combining Systems
  • Language: en
  • Pages: 355

Frontiers of Combining Systems

  • Type: Book
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  • Published: 2017-09-04
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  • Publisher: Springer

This book constitutes the proceedings of the 11th International Symposium on Frontiers of Combining Systems, FroCoS 2017, held in Brasília, Bazil, in September 2017. The 17 papers presented in this volume were carefully reviewed and selected from 26 submissions. They were organized in topical sections named: description and temporal logics, decision procedures, decidability and verification, SAT, SMT and automated theorem proving, term rewriting, and properties and combinations of logics. The paper 'Subtropical Satisfiability' is open access under a CC BY 4.0 license via link.springer.com.

The Semantic Web
  • Language: en
  • Pages: 682

The Semantic Web

This book constitutes the refereed proceedings of the 17th International Semantic Web Conference, ESWC 2020, held in Heraklion, Crete, Greece.* The 39 revised full papers presented were carefully reviewed and selected from 166 submissions. The papers were submitted to three tracks: the research track, the resource track and the in-use track. These tracks showcase research and development activities, services and applications, and innovative research outcomes making their way into industry. The research track caters for both long standing and emerging research topics in the form of the following subtracks: ontologies and reasoning; natural language processing and information retrieval; semant...

Logics in Artificial Intelligence
  • Language: en
  • Pages: 825

Logics in Artificial Intelligence

  • Type: Book
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  • Published: 2019-05-06
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  • Publisher: Springer

This book constitutes the proceedings of the 16th European Conference on Logics in Artificial Intelligence, JELIA 2019, held in Rende, Italy, in May 2019. The 50 full papers and 10 short papers included in this volume were carefully reviewed and selected from 101 submissions. Additionally, the book contains 3 invited papers. The accepted papers span a number of areas within Logics in AI, including: belief revision and argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming; modal and default logic; and temporal logic.

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges
  • Language: en
  • Pages: 314

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

  • Type: Book
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  • Published: 2020-05-06
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  • Publisher: IOS Press

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 p...

Scalable Uncertainty Management
  • Language: en
  • Pages: 421

Scalable Uncertainty Management

  • Type: Book
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  • Published: 2018-09-24
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

Reasoning Web. Declarative Artificial Intelligence
  • Language: en
  • Pages: 263

Reasoning Web. Declarative Artificial Intelligence

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.

Spatial Concepts for Decolonizing the Americas
  • Language: en
  • Pages: 198

Spatial Concepts for Decolonizing the Americas

This collection of essays presents an innovative and provocative set of concepts to understand the spaces of the Americas through local lenses. The disciplines of architecture, urban design, landscape, and planning share the fundamental belief that space and place matter; however, the overwhelming majority of canonical knowledge in these fields originates in another continent and is external to the lived experience in such regions. The book introduces seven new concepts that have not been sufficiently addressed, and would make a significant contribution to the field: namely, gridded spaces; spaces of agriculture; space as image; watered spaces; spaces as labor; racialized spaces; and gendered spaces. This book, thus, introduces a broader conceptual framework to foster the analysis of the spatial histories of the Americas.

Inductive Logic Programming
  • Language: en
  • Pages: 190

Inductive Logic Programming

This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13–15, 2023. The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.