The Semantic Web: Real-World Applications from Industry (Google eBook)

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Springer Science & Business Media, Sep 28, 2007 - Computers - 328 pages
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Semantic Web: Real-World Applications from Industry offers a glimpse into the opening door of semantic technologies by means of concentrated examples of semantic applications in real business environments. For quite a while, there has been evidence from academic research and early industrial prototypes that semantic technology can help humans and machines substantially in accessing and using the unprecedented, and exponentially growing, amount of information that the World Wide Web provides. Now semantic technology is moving from academic and industrial research into real products and applications. This book provides a series of case studies which demonstrate how real benefits can be derived from the adoption of semantic technology in popular business domains, such as telecommunication, B2B integration, healthcare, education, and others. Semantic Web: Real-World Applications from Industry summarizes state-of-the art expertise and practical experiences from outstanding technology showcases. This volume was written as a joint effort of leading experts in the field of semantic technology from various backgrounds and countries, including industry, academia, and government agencies. It combines a detailed description of the challenges and technical solutions with a discussion of the actual results and a wealth of lessons learned, which will be invaluable for future investments into semantic technology. Semantic Web: Real-World Applications from Industry was designed for industry professionals and researchers interested in the current state and future of semantic technology. This book is also suitable as a secondary advanced-level text or reference for students in computer science. Foreword by Michael L. Brodie, Chief Scientist, Verizon Communications, Cambridge, USA
  

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Contents

PART I SEMANTIC ENTERPRISES
2
THE FUTURE OF THE SEMANTIC WEB FOR ENTERPRISES
3
THE ENTERPRISE SEMANTIC WEB
16
PART II FINANCE AND GOVERNMENT
38
SEMANTIC WEB TECHNOLOGIES FOR THE FINANCIAL DOMAIN
39
INTELLIGENT SEARCH ENGINE FOR ONLINE ACCESS TO MUNICIPAL SERVICES
75
PART III HEALTHCARE AND LIFE SCIENCES
94
ONTOLOGYBASED DATA INTEGRATION FOR BIOMEDICAL RESEARCH
95
TARGETING LEARNING RESOURCES IN COMPETENCYBASED ORGANIZATIONS
143
DEVELOPING COURSE MANAGEMENT SYSTEMS USING THE SEMANTIC WEB
168
PART V BUSINESS AND CUSTOMER MANAGEMENT
189
INTEGRATION OF CUSTOMER INFORMATION USING THE SEMANTIC WEB
191
BUSINESS PROCESS MANAGEMENT AND SEMANTIC TECHNOLOGIES
209
PART VI ENTERPRISE MANAGEMENT AND SECURITY
240
ONTOLOGYBASED KNOWLEDGE MANAGEMENT IN THE STEEL INDUSTRY
243
BRINGING SEMANTIC SECURITY TO SEMANTIC WEB SERVICES
273

ACTIVE SEMANTIC ELECTRONIC MEDICAL RECORDS
123
PART IV EDUCATION
141

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Page 10 - ... including the creation, storage, search, query, reuse, maintenance, and integration of ontological information. Recently, there have been efforts to externalize such ontology management burden from individual software systems and put them together in middleware known as an ontology management system. An ontology management system provides a mechanism to deal with ontological information at an appropriate level of abstraction. By using programming interfaces and query languages the ontology management...
Page 15 - JSPE/IFIP TC5/WG5.3 Workshop on the Design of Information Infrastructure Systems for Manufacturing, DllSM '93, 8-10 November 1993, Tokyo, Japan. [17] Vernadat, F., 1993, "CIMOSA: Enterprise Modeling and Enterprise Integration Using a Process-Based Approach...
Page 6 - ... regarding the intended meaning of the vocabulary words. This set of assumptions has usually the form of a first-order logical theory, where vocabulary words appear as unary or binary predicate names, respectively called concepts and relations. In the simplest case, an ontology describes a hierarchy of concepts related by subsumption relationships; in more sophisticated cases, suitable axioms are added in order to express other relationships between concepts and to constrain their intended interpretation....
Page 10 - ... initial development and maintenance of ontologies, but also during their deployment. To provide a holistic management support for the entire lifecycle of ontological information, including ontology creation, storage, search, query, reuse, maintenance, and integration, an ontology management system needs to address a wide range of problems: ontology models, ontology base design, query languages, programming interfaces, query processing and optimization, federation of knowledge sources, caching...

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