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The Uncertain Web

Author: Rob Larsen

Publisher: "O'Reilly Media, Inc."

Published: 2014-12-10

Total Pages: 313

ISBN-13: 1491945869

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What’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition. By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way. Topics include: Navigating thousands of browser/device/OS combinations Focusing on optimal, not absolute solutions Feature detection, Modernizr, and polyfills RWD, mobile first, and progressive enhancement UIs that work with multiple user input modes Image optimization, SVG, and server-side options The horribly complex world of web video The Web we want to see in the future

Book Synopsis The Uncertain Web by : Rob Larsen

Download or read book The Uncertain Web written by Rob Larsen and published by "O'Reilly Media, Inc.". This book was released on 2014-12-10 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: What’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition. By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way. Topics include: Navigating thousands of browser/device/OS combinations Focusing on optimal, not absolute solutions Feature detection, Modernizr, and polyfills RWD, mobile first, and progressive enhancement UIs that work with multiple user input modes Image optimization, SVG, and server-side options The horribly complex world of web video The Web we want to see in the future

Uncertain Spatiotemporal Data Management for the Semantic Web

Author: Bai, Luyi

Publisher: IGI Global

Published: 2024-03-01

Total Pages: 527

ISBN-13: 1668491095

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In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

Book Synopsis Uncertain Spatiotemporal Data Management for the Semantic Web by : Bai, Luyi

Download or read book Uncertain Spatiotemporal Data Management for the Semantic Web written by Bai, Luyi and published by IGI Global. This book was released on 2024-03-01 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

Uncertainty Reasoning for the Semantic Web I

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.

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.

Uncertainty Reasoning for the Semantic Web III

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.

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

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.

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.

Uncertain Graph and Network Optimization

Author: Bo Zhang

Publisher: Springer Nature

Published: 2022-05-03

Total Pages: 144

ISBN-13: 9811914729

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This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems. The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.

Book Synopsis Uncertain Graph and Network Optimization by : Bo Zhang

Download or read book Uncertain Graph and Network Optimization written by Bo Zhang and published by Springer Nature. This book was released on 2022-05-03 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems. The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.

The Uncertain Web

Author: Rob Larsen

Publisher: "O'Reilly Media, Inc."

Published: 2014-12-10

Total Pages: 256

ISBN-13: 1491945885

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Book Synopsis The Uncertain Web by : Rob Larsen

Download or read book The Uncertain Web written by Rob Larsen and published by "O'Reilly Media, Inc.". This book was released on 2014-12-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: What’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition. By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way. Topics include: Navigating thousands of browser/device/OS combinations Focusing on optimal, not absolute solutions Feature detection, Modernizr, and polyfills RWD, mobile first, and progressive enhancement UIs that work with multiple user input modes Image optimization, SVG, and server-side options The horribly complex world of web video The Web we want to see in the future

Scalable Uncertainty Management

Author: Sergio Greco

Publisher: Springer Science & Business Media

Published: 2008-09-19

Total Pages: 411

ISBN-13: 3540879927

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This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.

Book Synopsis Scalable Uncertainty Management by : Sergio Greco

Download or read book Scalable Uncertainty Management written by Sergio Greco and published by Springer Science & Business Media. This book was released on 2008-09-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.

Rule Representation, Interchange and Reasoning on the Web

Author: Nick Bassiliades

Publisher: Springer

Published: 2008-10-29

Total Pages: 255

ISBN-13: 354088808X

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The 2008 International Symposium on Rule Interchange and Applications (RuleML th 2008), collocated in Orlando, Florida, with the 11 International Business Rules - rum, was the premier place to meet and to exchange ideas from all fields of rules te- nologies. The aim of RuleML 2008 was both to present new and interesting research results and to show successfully deployed rule-based applications. This annual sym- sium is the flagship event of the Rule Markup and Modeling Initiative (RuleML). The RuleML Initiative (www.ruleml.org) is a non-profit umbrella organization of several technical groups organized by representatives from academia, industry and government working on rule technologies and applications. Its aim is to promote the study, research and application of rules in heterogeneous distributed environments such as the Web. RuleML maintains effective links with other major international societies and acts as intermediary between various ‘specialized’ rule vendors, appli- tions, industrial and academic research groups, as well as standardization efforts from, for example, W3C, OMG, and OASIS.

Book Synopsis Rule Representation, Interchange and Reasoning on the Web by : Nick Bassiliades

Download or read book Rule Representation, Interchange and Reasoning on the Web written by Nick Bassiliades and published by Springer. This book was released on 2008-10-29 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2008 International Symposium on Rule Interchange and Applications (RuleML th 2008), collocated in Orlando, Florida, with the 11 International Business Rules - rum, was the premier place to meet and to exchange ideas from all fields of rules te- nologies. The aim of RuleML 2008 was both to present new and interesting research results and to show successfully deployed rule-based applications. This annual sym- sium is the flagship event of the Rule Markup and Modeling Initiative (RuleML). The RuleML Initiative (www.ruleml.org) is a non-profit umbrella organization of several technical groups organized by representatives from academia, industry and government working on rule technologies and applications. Its aim is to promote the study, research and application of rules in heterogeneous distributed environments such as the Web. RuleML maintains effective links with other major international societies and acts as intermediary between various ‘specialized’ rule vendors, appli- tions, industrial and academic research groups, as well as standardization efforts from, for example, W3C, OMG, and OASIS.

Uncertain Schema Matching

Author: Avigdor Gal

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 85

ISBN-13: 3031018451

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Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting over heterogeneous sources, duplicate data elimination, or automatic streamlining of workflow activities that involve heterogeneous data sources. Although schema matching research has been ongoing for over 25 years, more recently a realization has emerged that schema matchers are inherently uncertain. Since 2003, work on the uncertainty in schema matching has picked up, along with research on uncertainty in other areas of data management. This lecture presents various aspects of uncertainty in schema matching within a single unified framework. We introduce basic formulations of uncertainty and provide several alternative representations of schema matching uncertainty. Then, we cover two common methods that have been proposed to deal with uncertainty in schema matching, namely ensembles, and top-K matchings, and analyze them in this context. We conclude with a set of real-world applications. Table of Contents: Introduction / Models of Uncertainty / Modeling Uncertain Schema Matching / Schema Matcher Ensembles / Top-K Schema Matchings / Applications / Conclusions and Future Work

Book Synopsis Uncertain Schema Matching by : Avigdor Gal

Download or read book Uncertain Schema Matching written by Avigdor Gal and published by Springer Nature. This book was released on 2022-05-31 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is one of the basic operations required by the process of data and schema integration, and thus has a great effect on its outcomes, whether these involve targeted content delivery, view integration, database integration, query rewriting over heterogeneous sources, duplicate data elimination, or automatic streamlining of workflow activities that involve heterogeneous data sources. Although schema matching research has been ongoing for over 25 years, more recently a realization has emerged that schema matchers are inherently uncertain. Since 2003, work on the uncertainty in schema matching has picked up, along with research on uncertainty in other areas of data management. This lecture presents various aspects of uncertainty in schema matching within a single unified framework. We introduce basic formulations of uncertainty and provide several alternative representations of schema matching uncertainty. Then, we cover two common methods that have been proposed to deal with uncertainty in schema matching, namely ensembles, and top-K matchings, and analyze them in this context. We conclude with a set of real-world applications. Table of Contents: Introduction / Models of Uncertainty / Modeling Uncertain Schema Matching / Schema Matcher Ensembles / Top-K Schema Matchings / Applications / Conclusions and Future Work