Semantic Web: Concepts, Technologies and Applications format: PDF; ebooks can be used on all reading devices; Immediate eBook download after download. It includes: real-world (and complete) examples of the application of Semantic Web concepts; how the technology presented and discussed. Get this from a library! Semantic Web: Concepts, Technologies and Applications. [Karin K Breitman; Marco Antonio Casanova; Walter Truszkowski;].

Semantic Web Concepts Technologies And Applications Ebook

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Semantic Web: Concepts, Technologies and Applications (NASA Monographs in Systems and Software Engineering) [Karin Breitman, Marco Antonio Casanova. Semantic Web book. Read 4 reviews from the world's largest community for readers. Although the Web is growing at an astounding pace, surpassing the 8 bil . semantic web concepts technologies and applications We peruse the unimpeachable altering of this ebook in txt, DjVu, ePub,PDF, dr. activity. You navigational.

The book cannot claim to cover the full breadth of issues in the SWEL domain, but opens up a number of interesting issues and leaves many open problems for future researchers to pursue. In the first part, ontologies in support of e-Learning are examined, stretched, evaluated, and applied.

Rogozan and Paquette tackle the challenging problem of ontology evolution, explaining how ontologies change over time and providing a mechanism and an ontology for describing this evolution.

Dicheva and Dichev attack the practical problem of scaling up learning content repositories, pushing the limits of ontological representation schemes. Three chapters investigate the practical problems of applying ontologies directly to authoring instruction for learners.

Mizoguchi et al. Suraweera et al.

Finally, Soldatova and Mizoguchi apply ontologies to the development of assessment examinations. The second part of this book surveys selected areas among the vast set of possibilities for application of Semantic Web technologies to e-learning.

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Jovanovic et al. Libbrech and Desmoulins improve content annotation, representation and searching in a Geometry teaching domain.

Melis et al. And finally, Dzbor and Rajpathak present a Semantic Web-enhanced general platform for search and aggregation of information about authors and content topics. The third and final part of the book speaks to the developing technologies related to the Social Semantic Web.

Brooks et al. To conclude this volume, Loll and Pinkwart offer a new approach to collaborative filtering that relies on Semantic Web technologies.

With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate the increasing amount of public and private data available via SPARQL endpoints. Learn what you need to know to add to, update, and delete data in RDF datasets, and give web applications access to this data. Published: July 23, Semantic Web for the Working Ontologist Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users.

These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications.

Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more.

Focused on developing useful and reusable models, this market-leading book explains how to build semantic content ontologies and how to build applications that access that content. It also shows how to put theory into practice.

Published: January 6, Linking Enterprise Data Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption.

Ebook: Legal Theory, Sources of Law and the Semantic Web

Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters.

Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems.

Computer science graduate students and researchers focusing on enterprise information integration will also benefit. This book claimed that through a piece of software called a "browser", which accesses "web sites", the world economy and our daily lives would change forever. Would you have believed even 10 percent of that book? Did you take advantage of the first Internet wave and get ahead of the curve? Pull is the blueprint to the next disruptive wave.

Some call it Web 3. It's a fundamental transition from pushing information to pulling, using a new way of thinking and collaborating online.

Using the principles of this book, you will slash percent off your bottom line, make your customers happier, accelerate your industry, and prepare your company for the twenty-first century. It isn't going to be easy, and you don't have any choice.

By , your company will be more agile and your processes more flexible than you ever thought possible. The semantic web leads to possibilities straight from science fiction, such as buildings that can order their own supplies, eliminating the IRS, and lawyers finally making sense.

But it also leads to major changes in every field, from shipping and retail distribution to health care and financial reporting.

Published: December 31, Programming the Semantic Web With this book, the promise of the Semantic Web -- in which machines can find, share, and combine data on the Web -- is not just a technical possibility, but a practical reality Programming the Semantic Web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies.

You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data. Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems.

Semantic Web: Concepts, Technologies and Applications

Whether you're writing a simple mashup or maintaining a high-performance enterprise solution, Programming the Semantic Web provides a standard, flexible approach for integrating and future-proofing systems and data. Web 3. Written by a team of highly experienced Web developers, this book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and services that are available on the Internet.Preview this item Preview this item.

Typically they elicit domain knowledge through semi-formal ontologies, taxonomies or folksonomies.

Table of contents

Views Total views. This book provides a well-paced introduction to the Semantic Web, which is gaining in understanding and acceptance as new applications are realized in industry, academic, and government environments. The book cannot claim to cover the full breadth of issues in the SWEL domain, but opens up a number of interesting issues and leaves many open problems for future researchers to pursue.

Semantic Desktop Pages Consequently, data returned from Web APIs typically exists as isolated fragments, lacking reliable onward links signposting the way to related data.

Practical RDF breaks through this reputation with immediate and solvable problems to help you understand, master, and implement RDF solutions.

Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises.

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