Scalable Integration of Uncertainty Reasoning and Semantic Web Technologies

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (18 download)

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Book Synopsis Scalable Integration of Uncertainty Reasoning and Semantic Web Technologies by : Jörg Schönfisch

Download or read book Scalable Integration of Uncertainty Reasoning and Semantic Web Technologies written by Jörg Schönfisch and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reasoning Web. Semantic Technologies for Intelligent Data Access

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Publisher : Springer
ISBN 13 : 3642397840
Total Pages : 293 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Reasoning Web. Semantic Technologies for Intelligent Data Access by : Sebastian Rudolph

Download or read book Reasoning Web. Semantic Technologies for Intelligent Data Access written by Sebastian Rudolph and published by Springer. This book was released on 2013-07-22 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the lecture notes of the 9th Reasoning Web Summer School 2013, held in Mannheim, Germany, in July/August 2013. The 2013 summer school program covered diverse aspects of Web reasoning, ranging from scalable lightweight formalisms such as RDF to more expressive ontology languages based on description logics. It also featured foundational reasoning techniques used in answer set programming and ontology-based data access as well as emerging topics like geo-spatial information handling and reasoning-driven information extraction and integration.

Reasoning Web. Semantic Technologies for Information Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642037534
Total Pages : 364 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Reasoning Web. Semantic Technologies for Information Systems by : Sergio Tessaris

Download or read book Reasoning Web. Semantic Technologies for Information Systems written by Sergio Tessaris and published by Springer Science & Business Media. This book was released on 2009-08-17 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (276 download)

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Book Synopsis Uncertainty reasoning for the semantic web by : Paulo Cesar G. da Costa

Download or read book Uncertainty reasoning for the semantic web written by Paulo Cesar G. da Costa and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642333621
Total Pages : 662 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Scalable Uncertainty Management by : Eyke Hüllermeier

Download or read book Scalable Uncertainty Management written by Eyke Hüllermeier and published by Springer. This book was released on 2012-09-11 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Uncertainty Reasoning for the Semantic Web I

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Publisher : Springer Science & Business Media
ISBN 13 : 354089764X
Total Pages : 416 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Uncertainty Reasoning for the Semantic Web I by : Paulo C. G. Costa

Download or read book Uncertainty Reasoning for the Semantic Web I written by Paulo C. G. Costa and published by Springer Science & Business Media. This book was released on 2008-12-02 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642043887
Total Pages : 318 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Scalable Uncertainty Management by : Lluis Godo

Download or read book Scalable Uncertainty Management written by Lluis Godo and published by Springer. This book was released on 2009-08-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.

Reasoning Web

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Publisher :
ISBN 13 : 9783030003395
Total Pages : 237 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Reasoning Web by : Claudia d'Amato

Download or read book Reasoning Web written by Claudia d'Amato and published by . This book was released on 2018 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Uncertainty Reasoning for the Semantic Web III

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Publisher : Springer
ISBN 13 : 3319134132
Total Pages : 346 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Uncertainty Reasoning for the Semantic Web III by : Fernando Bobillo

Download or read book Uncertainty Reasoning for the Semantic Web III written by Fernando Bobillo and published by Springer. This book was released on 2014-11-29 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer
ISBN 13 : 3642359752
Total Pages : 345 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Uncertainty Reasoning for the Semantic Web II by : Fernando Bobillo

Download or read book Uncertainty Reasoning for the Semantic Web II written by Fernando Bobillo and published by Springer. This book was released on 2013-01-09 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3319458566
Total Pages : 368 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Scalable Uncertainty Management by : Steven Schockaert

Download or read book Scalable Uncertainty Management written by Steven Schockaert and published by Springer. This book was released on 2016-08-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Reasoning Web. Semantic Technologies for the Web of Data

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Publisher : Springer
ISBN 13 : 3642230326
Total Pages : 544 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Reasoning Web. Semantic Technologies for the Web of Data by : Axel Polleres

Download or read book Reasoning Web. Semantic Technologies for the Web of Data written by Axel Polleres and published by Springer. This book was released on 2011-08-09 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantic Web aims at enriching the existing Web with meta-data and processing methods so as to provide web-based systems with advanced capabilities, in particular with context awareness and decision support. The objective of this book is to provide a coherent introduction to semantic web methods and research issues with a particular emphasis on reasoning. The 7th reasoning web Summer School, held in August 2011, focused on the central topic of applications of reasoning for the emerging “Web of Data”. The 12 chapters in the present book provide excellent educational material as well as a number of references for further reading. The book not only addresses students working in the area, but also those seeking an entry point to various topics related to reasoning over Web data.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3540754105
Total Pages : 286 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Scalable Uncertainty Management by : Henri Prade

Download or read book Scalable Uncertainty Management written by Henri Prade and published by Springer. This book was released on 2007-09-20 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers and practitioners.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 9783319115078
Total Pages : 322 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Scalable Uncertainty Management by : Umberto Straccia

Download or read book Scalable Uncertainty Management written by Umberto Straccia and published by Springer. This book was released on 2014-09-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Intelligent Information Integration for the Semantic Web

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Publisher : Springer
ISBN 13 : 3540286365
Total Pages : 163 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Intelligent Information Integration for the Semantic Web by : Ubbo Visser

Download or read book Intelligent Information Integration for the Semantic Web written by Ubbo Visser and published by Springer. This book was released on 2005-01-11 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantic Web o?ers new options for information processes. Dr. Visser is dealing with twocore issuesin this area:the integrationofdata onthe sem- tic level and the problem of spatio-temporalrepresentation and reasoning. He tackles existing research problems within the ?eld of geographic information systems(GIS), thesolutionsofwhichareessentialfor animprovedfunction- ity of applicationsthat makeuse of the Semantic Web (e.g., for heterogeneous digitalmaps).Inaddition,theyareoffundamentalsigni?canceforinformation sciences as such. In an introductory overview of this ?eld of research, he motivates the - cessity for formal metadata for unstructured information in the World Wide Web. Without metadata, an e?cient search on a semantic level will turn out to be impossible, above all if it is not only applied to a terminological level but also to spatial-temporal knowledge. In this context, the task of infor- tionintegrationisdividedinto syntactic,structural,andsemanticintegration, the last class by far the most di?cult, above all with respect to contextual semantic heterogeneities. A current overview of the state of the art in the ?eld of information in- gration follows. Emphasis is put particularly on the representation of spatial and temporal aspects including the corresponding inference mechanisms, and also the special requirements on the Open GIS Consortium.

The Semantic Web Explained

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Publisher : Cambridge University Press
ISBN 13 : 0521700361
Total Pages : 481 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis The Semantic Web Explained by : Péter Szeredi

Download or read book The Semantic Web Explained written by Péter Szeredi and published by Cambridge University Press. This book was released on 2014-09-11 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantic Web is a new area of research and development in the field of computer science that aims to make it easier for computers to process the huge amount of information on the web, and indeed other large databases, by enabling them not only to read, but also to understand the information. Based on successful courses taught by the authors, and liberally sprinkled with examples and exercises, this comprehensive textbook describes not only the theoretical issues underlying the Semantic Web, but also algorithms, optimisation ideas and implementation details. The book will therefore be valuable to practitioners as well as students, indeed to anyone who is interested in Internet technology, knowledge engineering or description logics. Supplementary materials available online include the source code of program examples and solutions to selected exercises.

Probabilistic Semantic Web

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Publisher : IOS Press
ISBN 13 : 1614997349
Total Pages : 193 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Probabilistic Semantic Web by : R. Zese

Download or read book Probabilistic Semantic Web written by R. Zese and published by IOS Press. This book was released on 2016-12-09 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.