Explorer's Guide to the Semantic Web

Explorer's Guide to the Semantic Web

Explorer's Guide to the Semantic Web
Publisher: Manning Publications | ISBN: 1932394206 | edition 2004 | PDF | 305 pages | 4,7 mb

A complex series of extensions to the World Wide Web, the Semantic Web's purpose is to make data and services far more accessible to computers and far more useful for people than the web we know today. Written for developers and programmers, this guide seeks to acquaint these users with the basic technologies and their interrelations that will be likely to play key roles in the Semantic Web. Covered are key technology areas such as knowledge modeling (RDF, Topic Maps), agents (DAML, FIPA), and Trust and Authentication. A basic conceptual approach is taken so that developers and programmers with a wide range of backgrounds and interests come to understand the essential nature of these areas, how they work, and something about some specific technologies that are being used or proposed. Important points are illustrated with diagrams and code fragments to help develop a familiarity with these Semantic Web initiatives.

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Create Web 2.0 videotraining

Create Web 2.0 videotraining

Product Summary:

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Dan C. Marinescu, «Internet Based Workflow Management: Towards a Semantic Web»

Internet Based Workflow Management: Towards a Semantic Web

Dan C. Marinescu, «Internet Based Workflow Management: Towards a Semantic Web»
John Wiley & Sons | ISBN: 0471439622 | 2002 | PDF | 626 pages | 216.48 MB

“

Today, an ever-expanding set of human activities, ranging from business processes to healthcare to education and research, is dependent upon the Internet. Most processes involve a workflow, the coordinated execution of multiple activities. In a given application, once the key stages of the workflow have been isolated, an infrastructure to coordinate the handling of individual cases is necessary. Internet-Based Workflow Management shows how to understand, develop, and use societal services for process coordination in an information grid with a rich set of hardware and software resources. In such a semantic web, individual services offered by autonomous service providers can be composed to perform the complex tasks involved in emerging new applications.

”

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Free Download Semantic Web Technologies: Trends and Research in Ontology-based Systems

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Semantic Web Technologies: Trends and Research in Ontology-based Systems

Semantic Web Technologies: Trends and Research in Ontology-based Systems

Product Description
The Semantic Web combines the descriptive languages RDF (Resource Description Framework) and OWL (Web Ontology Language), with the data-centric, customizable XML (eXtensible Mark-up Language) to provide descriptions of the content of Web documents. These machine-interpretable descriptions allow more intelligent software systems to be written, automating the analysis and exploitation of web-based information.

Software agents will be able to create automatically new services from already published services, with potentially huge implications for models of e-Business.

Semantic Web Technologies provides a comprehensive overview of key semantic knowledge technologies and research. The authors explain (semi-)automatic ontology generation and metadata extraction in depth, along with ontology management and mediation. Further chapters examine how Semantic Web technology is being applied in knowledge management (“Semantic Information Access”) and in the next generation of Web services.

Semantic Web Technologies:

* Provides a comprehensive exposition of the state-of-the art in Semantic Web research and key technologies.
* Explains the use of ontologies and metadata to achieve machine-interpretability.
* Describes methods for ontology learning and metadata generation.
* Discusses ontology management and evolution, covering ontology change detection and propagation, ontology dependency and mediation.
* Illustrates the theoretical concepts with three case studies on industrial applications in digital libraries, the legal sector and the telecommunication industry.

Graduate and advanced undergraduate students, academic and industrial researchers in the field will all find Semantic Web Technologies an essential guide to the technologies of the Semantic Web.

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Dacheng Tao Semantic Mining Technologies for Multimedia Databases

Semantic Mining Technologies for Multimedia Databases

Dacheng Tao "Semantic Mining Technologies for Multimedia Databases"
Information Science Reference | English | 2009-04-15 | ISBN: 1605661880 | 550 pages | PDF | 13 MB

Multimedia searching and management have become popular due to demanding applications and competition among companies. Despite the increase in interest, there is no existing book covering basic knowledge on state-of-the-art techniques within the field.

Semantic Mining Technologies for Multimedia Databases provides an introduction to the most recent techniques in multimedia semantic mining necessary to researchers new to the field. This book serves as an important reference in multimedia for academicians, multimedia technologists and researchers, and academic libraries.

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Programming the Semantic Web-Submitted by 06SW12

Product Description
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. 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.

This book will help you:

* Learn how the Semantic Web allows new and unexpected uses of data to emerge
* Understand how semantic technologies promote data portability with a simple, abstract model for knowledge representation
* Become familiar with semantic standards, such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL)
* Make use of semantic programming techniques to both enrich and simplify current web applications

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