Reasoning Techniques For The Web Of Data

Author : A. Hogan
Publisher : IOS Press
ISBN 13 : 1614993831
Total Pages : 344 pages
Book Rating : 4.34/5 ( download)

DOWNLOAD NOW!

Download or read book Reasoning Techniques for the Web of Data written by A. Hogan and published by IOS Press. This book was released on 2014-04-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linked Data publishing has brought about a novel “Web of Data”: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data – in terms of how resources are described and identified – poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better integrate large scale, diverse, Linked Data corpora. We take a test corpus of 1.1 billion RDF statements collected from 4 million RDF Web documents and analyse the use of RDFS and OWL therein. We then detail and evaluate scalable and distributed techniques for applying rule-based materialisation to translate data between different vocabularies, and to resolve coreferent resources that talk about the same thing. We show how such techniques can be made robust in the face of noisy and often impudent Web data. We also examine a use case for incorporating a PagerRank-style algorithm to rank the trustworthiness of facts produced by reasoning, subsequently using those ranks to fix formal contradictions in the data. All of our methods are validated against our real world, large scale, open domain, Linked Data evaluation corpus.

Author : Aidan Hogan
Publisher :
ISBN 13 : 9781306902977
Total Pages : 344 pages
Book Rating : 4.75/5 ( download)

DOWNLOAD NOW!

Download or read book Reasoning Techniques for the Web of Data written by Aidan Hogan and published by . This book was released on 2014-01-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linked Data publishing has brought about a novel Web of Data: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data in terms of how resources are described and identified poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better integrate large scale, diverse, Linked Data corpora. We take a test corpus of 1.1 billion RDF statements collected from 4 million RDF Web documents and analyse the use of RDFS and OWL therein. We then detail and evaluate scalable and distributed techniques for applying rule-based materialisation to translate data between different vocabularies, and to resolve coreferent resources that talk about the same thing. We show how such techniques can be made robust in the face of noisy and often impudent Web data. We also examine a use case for incorporating a PagerRank-style algorithm to rank the trustworthiness of facts produced by reasoning, subsequently using those ranks to fix formal contradictions in the data. All of our methods are validated against our real world, large scale, open domain, Linked Data evaluation corpus."

Author : Axel Polleres
Publisher : Springer
ISBN 13 : 3642230326
Total Pages : 544 pages
Book Rating : 4.25/5 ( download)

DOWNLOAD NOW!

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.

Author : Manolis Koubarakis
Publisher : Springer
ISBN 13 : 3319105876
Total Pages : 390 pages
Book Rating : 4.71/5 ( download)

DOWNLOAD NOW!

Download or read book Reasoning Web. Reasoning and the Web in the Big Data Era written by Manolis Koubarakis and published by Springer. This book was released on 2014-09-03 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the lecture notes of the 10th Reasoning Web Summer School 2014, held in Athens, Greece, in September 2014. In 2014, the lecture program of the Reasoning Web introduces students to recent advances in big data aspects of semantic web and linked data, and the fundamentals of reasoning techniques that can be used to tackle big data applications.

Author : Sebastian Rudolph
Publisher : Springer
ISBN 13 : 3642397840
Total Pages : 285 pages
Book Rating : 4.44/5 ( download)

DOWNLOAD NOW!

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 285 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.

Author : Sherif Sakr
Publisher : Springer
ISBN 13 : 3319735152
Total Pages : 223 pages
Book Rating : 4.53/5 ( download)

DOWNLOAD NOW!

Download or read book Linked Data written by Sherif Sakr and published by Springer. This book was released on 2018-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

Author : G. Cota
Publisher : IOS Press
ISBN 13 : 1643681435
Total Pages : 244 pages
Book Rating : 4.36/5 ( download)

DOWNLOAD NOW!

Download or read book Applications and Practices in Ontology Design, Extraction, and Reasoning written by G. Cota and published by IOS Press. This book was released on 2020-12-02 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. They have been in use for several years now, and knowledge extraction and knowledge discovery are two key aspects investigated in a number of research fields which can potentially benefit from the application of semantic web technologies, and specifically from the development and reuse of ontologies. This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, methods, and applications of semantic web technologies reframe research questions and approaches in a number of research fields. The book also aims to showcase practical tools and background knowledge for the building and querying of ontologies. The first part of the book presents the state-of-the-art of ontology design, applications and practices in a number of communities, and in doing so it provides an overview of the latest approaches and techniques for building and reusing ontologies according to domain-dependent and independent requirements. Once the data is represented according to ontologies, it is important to be able to query and reason about them, also in the presence of uncertainty, vagueness and probabilities. The second part of the book covers some of the latest advances in the fields of ontology, semantics and reasoning, without losing sight of the book’s practical goals.

Author : Jeffrey M. Stanton
Publisher : Guilford Publications
ISBN 13 : 1462530265
Total Pages : 336 pages
Book Rating : 4.67/5 ( download)

DOWNLOAD NOW!

Download or read book Reasoning with Data written by Jeffrey M. Stanton and published by Guilford Publications. This book was released on 2017-05-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. ÿ Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.ÿ

Author : Giovambattista Ianni
Publisher : Springer
ISBN 13 : 3319610333
Total Pages : 347 pages
Book Rating : 4.37/5 ( download)

DOWNLOAD NOW!

Download or read book Reasoning Web. Semantic Interoperability on the Web written by Giovambattista Ianni and published by Springer. This book was released on 2017-06-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017. In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies.

Author : Balder ten Cate
Publisher : Springer
ISBN 13 : 3319220020
Total Pages : 131 pages
Book Rating : 4.24/5 ( download)

DOWNLOAD NOW!

Download or read book Web Reasoning and Rule Systems written by Balder ten Cate and published by Springer. This book was released on 2015-07-21 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Web Reasoning and Rule Systems, RR 2015, held in Berlin, Germany, in August 2015. The 5 full papers, 4 technical communications presented together with 4 invited talks were carefully reviewed and selected from 16 submissions. The scale and the heterogenous nature of web data poses many challenges, and turns basic tasks such as query answering and data transformations into complex reasoning problems. Rule-based systems have found many applications in this area. The RR conference welcomes original research from all areas of Web Reasoning and Rule Systems. Topics of particular interest are: answer set programming, complex events, datalog, description logics, event-condition-action rules, information extraction, and logic programming.