Uncertain Web

Author : Rob Larsen
Publisher : "O'Reilly Media, Inc."
Page : 256 pages
File Size : 42,9 Mb
Release : 2014-12-10
Category : Computers
ISBN : 9781491945889

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The Uncertain Web by Rob Larsen Pdf

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

Author : Bai, Luyi,Zhu, Lin
Publisher : IGI Global
Page : 527 pages
File Size : 54,8 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9781668491096

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Uncertain Spatiotemporal Data Management for the Semantic Web by Bai, Luyi,Zhu, Lin Pdf

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.

Author : Fernando Bobillo,Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool
Publisher : Springer
Page : 331 pages
File Size : 40,6 Mb
Release : 2013-01-09
Category : Computers
ISBN : 9783642359750

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Uncertainty Reasoning for the Semantic Web II by Fernando Bobillo,Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool Pdf

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.

Author : Fernando Bobillo,Rommel N. Carvalho,Paulo C.G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool
Publisher : Springer
Page : 329 pages
File Size : 51,8 Mb
Release : 2014-11-29
Category : Computers
ISBN : 9783319134130

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Uncertainty Reasoning for the Semantic Web III by Fernando Bobillo,Rommel N. Carvalho,Paulo C.G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Thomas Lukasiewicz,Matthias Nickles,Michael Pool Pdf

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.

Author : Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Matthias Nickles,Michael Pool
Publisher : Springer
Page : 403 pages
File Size : 45,8 Mb
Release : 2008-11-30
Category : Computers
ISBN : 9783540897651

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Uncertainty Reasoning for the Semantic Web I by Paulo Cesar G. Costa,Claudia d'Amato,Nicola Fanizzi,Kathryn B. Laskey,Kenneth J. Laskey,Matthias Nickles,Michael Pool Pdf

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.

Author : Sergio Greco,Thomas Lukasiewicz
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 41,6 Mb
Release : 2008-09-19
Category : Computers
ISBN : 9783540879923

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Scalable Uncertainty Management by Sergio Greco,Thomas Lukasiewicz Pdf

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.

Author : Avigdor Gal
Publisher : Springer Nature
Page : 85 pages
File Size : 55,7 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018459

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Uncertain Schema Matching by Avigdor Gal Pdf

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

Author : Zongmin Ma,Li Yan
Publisher : Springer
Page : 161 pages
File Size : 49,9 Mb
Release : 2013-03-30
Category : Technology & Engineering
ISBN : 9783642375095

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Advances in Probabilistic Databases for Uncertain Information Management by Zongmin Ma,Li Yan Pdf

This book covers a fast-growing topic in great depth and focuses on the technologies and applications of probabilistic data management. It aims to provide a single account of current studies in probabilistic data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of information technology of intelligent information processing, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 773 pages
File Size : 41,8 Mb
Release : 2018-05-30
Category : Computers
ISBN : 9783319914763

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Author : Ajith Abraham,Tzung-Pei Hong,Ketan Kotecha,Kun Ma,Pooja Manghirmalani Mishra,Niketa Gandhi
Publisher : Springer Nature
Page : 1380 pages
File Size : 52,9 Mb
Release : 2023-05-24
Category : Technology & Engineering
ISBN : 9783031274091

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Hybrid Intelligent Systems by Ajith Abraham,Tzung-Pei Hong,Ketan Kotecha,Kun Ma,Pooja Manghirmalani Mishra,Niketa Gandhi Pdf

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 97 selected papers from the 22nd International Conference on Hybrid Intelligent Systems (HIS 2022) and 26 papers from the 18th International Conference on Information Assurance and Security, which was held online, from 13 to 15 December 2022. A premier conference in the field of artificial intelligence and machine learning applications, HIS–IAS 2022, brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 35 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Author : Salem Benferhat,John Grant
Publisher : Springer
Page : 562 pages
File Size : 41,5 Mb
Release : 2011-10-07
Category : Computers
ISBN : 9783642239632

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Scalable Uncertainty Management by Salem Benferhat,John Grant Pdf

This book constitutes the refereed proceedings of the 5th International Conference on Scalable Uncertainty Management, SUM 2011, held in Dayton, OH, USA, in October 2011. The 32 revised full papers and 3 revised short papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on argumentation systems, probabilistic inference, dynamic of beliefs, information retrieval and databases, ontologies, possibility theory and classification, logic programming, and applications.

Author : Bartholomew H. Sparrow
Publisher : JHU Press
Page : 308 pages
File Size : 49,6 Mb
Release : 1999-05-04
Category : Language Arts & Disciplines
ISBN : 0801860369

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Uncertain Guardians by Bartholomew H. Sparrow Pdf

The news media are often seen as a fourth branch of government, serving as a check on the other three. This text argues that this is a mistaken notion: the media's decisions affect the government's policy making, as well as the processes and outcomes of the political system.

Author : Rob Larsen
Publisher : Unknown
Page : 128 pages
File Size : 49,5 Mb
Release : 2024-05-04
Category : Electronic
ISBN : 1491945893

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Uncertain Web by Rob Larsen Pdf

Author : Roberto Tempo,Giuseppe Calafiore,Fabrizio Dabbene
Publisher : Springer Science & Business Media
Page : 363 pages
File Size : 42,6 Mb
Release : 2012-10-21
Category : Technology & Engineering
ISBN : 9781447146100

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Randomized Algorithms for Analysis and Control of Uncertain Systems by Roberto Tempo,Giuseppe Calafiore,Fabrizio Dabbene Pdf

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten. Features: · self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis; · development of a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms; · comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples; · applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine, unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and control engineers dealing with system uncertainties. The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years. M. Vidyasagar

Author : Lluis Godo,Andrea Pugliese
Publisher : Springer
Page : 309 pages
File Size : 40,7 Mb
Release : 2009-08-29
Category : Computers
ISBN : 9783642043888

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Scalable Uncertainty Management by Lluis Godo,Andrea Pugliese Pdf

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.