Uncertainty Reasoning for the Semantic Web III

Uncertainty Reasoning for the Semantic Web III PDF

Author: Fernando Bobillo

Publisher: Springer

Published: 2014-11-29

Total Pages: 346

ISBN-13: 3319134132

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This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

Uncertainty Reasoning for the Semantic Web II

Uncertainty Reasoning for the Semantic Web II PDF

Author: Fernando Bobillo

Publisher: Springer

Published: 2013-01-09

Total Pages: 345

ISBN-13: 3642359752

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This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

Uncertainty Reasoning for the Semantic Web I

Uncertainty Reasoning for the Semantic Web I PDF

Author: Paulo C. G. Costa

Publisher: Springer Science & Business Media

Published: 2008-12-02

Total Pages: 416

ISBN-13: 354089764X

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This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.

Probabilistic Semantic Web

Probabilistic Semantic Web PDF

Author: R. Zese

Publisher: IOS Press

Published: 2016-12-09

Total Pages: 193

ISBN-13: 1614997349

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The management of uncertainty in the Semantic Web is of foremost importance given the nature and origin of the available data. This book presents a probabilistic semantics for knowledge bases, DISPONTE, which is inspired by the distribution semantics of Probabilistic Logic Programming. The book also describes approaches for inference and learning. In particular, it discusses 3 reasoners and 2 learning algorithms. BUNDLE and TRILL are able to find explanations for queries and compute their probability with regard to DISPONTE KBs while TRILLP compactly represents explanations using a Boolean formula and computes the probability of queries. The system EDGE learns the parameters of axioms of DISPONTE KBs. To reduce the computational cost, EDGEMR performs distributed parameter learning. LEAP learns both the structure and parameters of KBs, with LEAPMR using EDGEMR for reducing the computational cost. The algorithms provide effective techniques for dealing with uncertain KBs and have been widely tested on various datasets and compared with state of the art systems.

Uncertainty Reasoning for the Semantic Web II

Uncertainty Reasoning for the Semantic Web II PDF

Author: Fernando Bobillo

Publisher: Springer

Published: 2013-01-09

Total Pages: 0

ISBN-13: 9783642359750

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This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

Web Reasoning and Rule Systems

Web Reasoning and Rule Systems PDF

Author: Axel Polleres

Publisher: Springer

Published: 2009-10-14

Total Pages: 279

ISBN-13: 3642050824

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ThepromiseoftheSemanticWeb,atits most expansive, is to allow knowledge to be freely accessed and exchanged by software. It is now recognized that if the SemanticWebis to containdeepknowledge,theneedfornewrepresentationand reasoning techniques is going to be critical. These techniques need to ?nd the righttrade-o?betweenexpressiveness,scalabilityandrobustnesstodealwiththe inherently incomplete, contradictory and uncertain nature of knowledge on the Web. The International Conference on Web Reasoning and Rule Systems (RR) was founded to address these needs and has grown into a major international forum in this area. The third RR conference was held during October 25–26, 2009 in Chantilly, Virginia, co-located with the International Semantic Web Conference (ISWC 2009). This year 41 papers were submitted from authors in 21 countries. The P- gram Committee performed outstandingly to ensure that each paper submitted to RR 2009 was thoroughly reviewed by at least three referees in a short - riod of time. The resulting conference presented papers of high quality on many of the key issues for reasoning on the Semantic Web. RR 2009 was fortunate to have two distinguished invited speakers. Robert Kowalski, in his talk “- tegrating Logic Programming and Production Systems with Abductive Logic Programming Agents” addressed some of the fundamental considerations - hind reasoning about evolving systems. Benjamin Grossof’s talk “SILK: Higher Level Rules with Defaults and Semantic Scalability” described the design of a major next-generation rule system. The invited tutorial “Uncertainty Reas- ing for the Semantic Web” by Thomas Lukasiewicz provided perspectives on a central issue in this area.

Reasoning Web. Semantic Technologies for Information Systems

Reasoning Web. Semantic Technologies for Information Systems PDF

Author: Sergio Tessaris

Publisher: Springer Science & Business Media

Published: 2009-08-17

Total Pages: 364

ISBN-13: 3642037534

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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.

Uncertainty Reasoning for the Semantic Web I

Uncertainty Reasoning for the Semantic Web I PDF

Author: Paulo Cesar G. Costa

Publisher: Springer

Published: 2008-11-30

Total Pages: 416

ISBN-13: 3540897658

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This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.