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Uncertainty Reasoning for the Semantic Web II

Uncertainty Reasoning for the Semantic Web II PDF Author: Fernando Bobillo
Publisher: Springer
ISBN: 3642359752
Category : Computers
Languages : en
Pages : 331

Book Description
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 II

Uncertainty Reasoning for the Semantic Web II PDF Author: Fernando Bobillo
Publisher: Springer
ISBN: 3642359752
Category : Computers
Languages : en
Pages : 331

Book Description
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

Uncertainty reasoning for the semantic web PDF Author: Paulo Cesar G. da Costa
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


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
ISBN: 354089764X
Category : Computers
Languages : en
Pages : 416

Book Description
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.

Uncertainty Reasoning for the Semantic Web III

Uncertainty Reasoning for the Semantic Web III PDF Author: Fernando Bobillo
Publisher: Springer
ISBN: 3319134132
Category : Computers
Languages : en
Pages : 329

Book Description
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
ISBN: 9783642359750
Category : Computers
Languages : en
Pages : 0

Book Description
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.

Probabilistic Semantic Web

Probabilistic Semantic Web PDF Author: R. Zese
Publisher: IOS Press
ISBN: 1614997349
Category : Computers
Languages : en
Pages : 193

Book Description
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.

Fuzzy Systems and Data MiningII

Fuzzy Systems and Data MiningII PDF Author: S.-L. Sun
Publisher: IOS Press
ISBN: 1614997225
Category : Computers
Languages : en
Pages : 652

Book Description
Fuzzy systems and data mining are now an essential part of information technology and data management, with applications affecting every imaginable aspect of our daily lives. This book contains 81 selected papers from those accepted and presented at the 2nd international conference on Fuzzy Systems and Data Mining (FSDM2016), held in Macau, China, in December 2016. This annual conference focuses on 4 main groups of topics: fuzzy theory, algorithm and system; fuzzy applications; the interdisciplinary field of fuzzy logic and data mining; and data mining, and the event provided a forum where more than 100 qualified, high-level researchers and experts from over 20 countries, including 4 keynote speakers, gathered to create an important platform for researchers and engineers worldwide to engage in academic communication. All the papers collected here present original ideas, methods and results of general significance supported by clear reasoning and compelling evidence, and as such the book represents a valuable and wide ranging reference resource of interest to all those whose work involves fuzzy systems and data mining.

Reasoning Web. Semantic Technologies for Information Systems

Reasoning Web. Semantic Technologies for Information Systems PDF Author: Sergio Tessaris
Publisher: Springer Science & Business Media
ISBN: 3642037534
Category : Computers
Languages : en
Pages : 364

Book Description
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.

Probabilistic Semantic Web

Probabilistic Semantic Web PDF Author: Riccardo Zese
Publisher:
ISBN: 9783898387224
Category :
Languages : en
Pages :

Book Description


Foundations of Fuzzy Logic and Semantic Web Languages

Foundations of Fuzzy Logic and Semantic Web Languages PDF Author: Umberto Straccia
Publisher: CRC Press
ISBN: 1439853487
Category : Computers
Languages : en
Pages : 386

Book Description
Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic