The Semantic Web for Knowledge and Data Management: Technologies and Practices, 1st Edition

  • Huaiging Wang
  • Zongmin Ma
  • Published By:
  • ISBN-10: 1605660299
  • ISBN-13: 9781605660295
  • Grade Level Range: College Freshman - College Senior
  • 306 Pages | eBook
  • Original Copyright 2008 | Published/Released April 2010
  • This publication's content originally published in print form: 2008

  • Price:  Sign in for price

About

Overview

While the current Web provides access to an enormous amount of information, it is currently only human-readable. In response to this problem, the Semantic Web allows for explicit representation of the Semantics of data so that it is machine interpretable. "Semantic Web for Knowledge and Data Management: Technologies and Practices" provides a single record of technologies and practices of the Semantic approach to the management, organization, interpretation, retrieval, and use of Web-based data. This groundbreaking collection offers state-of-the-art information to academics, researchers, and industry practitioners involved in the study, use, design, and development of advanced and emerging Semantic Web technologies.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Preface.
Acknowledgment.
1: Section I.
2: Contextual Hierarchy Driven Ontology Learning.
3: A Review of Fuzzy Models for the Semantic Web.
4: Improving Storage Concepts for Semantic Models and Ontologies.
5: Ontologies and Intelligent Agents: A Powerful Bond.
6: Probabilistic Models for the Semantic Web: A Survey.
7: Automatic Semantic Annotation Using Machine Learning.
8: Section II.
9: Paving the Way to an Effective and Efficient Retrieval of Data over Semantic Overlay Networks.
10: Swarms: A Platform for Domain Knowledge Management and Applications.
11: Modeling and Querying XML–Based P2P Information Systems: A Semantics-Based Approach.
12: Section III.
13: Applying Semantic Web to E–Tourism.
14: Semantic Web in Ubiquitous Mobile Communications.
15: Design Diagrams as Ontological Sources: Ontology Extraction and Utilization for Software Asset Reuse.
Compilation of References.
About the Contributors.
Index.