The Semantic Web for Knowledge and Data Management: 9781605660288: Computer Science & IT Books

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781605660288

EISBN13: 9781605660295

DOI: 10.4018/978-1-60566-028-8

Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Automatic semantic annotation
Contextual hierarchy driven ontology learning
Data Retrieval
Design diagrams
Domain knowledge management and applications
E-tourism
Fuzzy Models
Machine Learning
Modeling
Ontological sources
Ontologies and intelligent agents
Ontology extraction
Ontology utilization
Probabilistic models for the semantic Web
Semantic models
Semantic ontologies
Semantic overlay networks
Semantic Web
Semantics-based approach
Software asset reuse
Storage concept improvement
SWARMS
Ubiquitous mobile communications
XML-based P2P information systems

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Reviews

This book presents the latest research and application results in the Semantic Web.

– Zongmin Ma, Northeastern University, China

Students, researchers, and practitioners will benefit from the discussions of key theoretical concepts combined with guidelines for practical application and implementation. The chapters are accompanied by sections on future research directions, additional reading and questions for discussion, making it an ideal resource for coming to grips with the latest developments.

– Online Information Review, Vol. 33, No. 3

Zongmin Ma (Z. M. Ma) received the Ph. D. degree from the City University of Hong Kong in 2001 and is currently a Full Professor in College of Information Science and Engineering at Northeastern University, China. His current research interests include intelligent database systems, knowledge representation and reasoning, the Semantic Web and XML, knowledge-bases systems, and semantic image retrieval. He has published over 80 papers in international journals, conferences, and books in these areas since 1999. He also authored and edited several scholarly books published by Springer-Verlag and IGI Global, respectively. He has served as member of the international program committees for several international conferences and also spent some time as a reviewer of several journals. Dr. Ma is a senior member of the IEEE.

Huaiqing Wang is a Professor at the Department of Information Systems, City University of Hong Kong. He is also the Honorary Dean and a Guest Professor of the School of Information Engineering, Wuhan University of Technology, China. He received his PhD in Computer Science from University of Manchester, UK, in 1987. Dr. Wang specializes in research and development of business intelligence systems, intelligent agents and their applications (such as multi-agent supported financial information systems, virtual learning systems, knowledge management systems, conceptual modeling and ontology). He has published more than 40 international refereed journal articles.

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