Bøger i Semantic Web and Beyond serien

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

The availability of geographic and geospatial information and services, especially on the open Web has become abundant in the last several years with the proliferation of online maps, geo-coding services, geospatial Web services and geospatially enabled applications. The need for geospatial reasoning has significantly increased in many everyday applications including personal digital assistants, Web search applications, local aware mobile services, specialized systems for emergency response, medical triaging, intelligence analysis and more. Geospatial Semantics and the Semantic Web: Foundations, Algorithms, and Applications, an edited volume contributed by world class leaders in this field, provides recent research in the theme of geospatial semantics. This edited volume presents new information systems applications that have potential for high impact and commercialization. Also, special effort was made by the contributors to focus on geospatial ontology development, related standards, geospatial ontology alignment and integration, and algorithmic techniques for geospatial semantics. Case studies and examples will be provided throughout this book as well as possibilities for future research.

Since its creation a number of years ago, the  World  Wide Web has revolutionized the way entertainment, research and business are conducted in modern society. However, most of the current Web is conceived for human understanding whereas software applications or agents have no clue of the meaning of its content. The semantic Web, as an extension of the current Web and a vision, aims to bring structure for computer programs to "understand" and process. According to Tim Berners-Lee, in this vision, humans and machines will be able to work, reason and solve complex tasks in cooperation.Canadian Semantic Web contains the proceedings of the Canadian Semantic Web Working Symposium (CSWWS) 2006, the first major event in Canada on the theme of semantic Web. This event is the initiative of the Canadian Semantic Web Interest Group (SWIG) which gathers researchers supported by the Canadian Society for the Computational Studies of Intelligence(CSCSI). This text covers a variety of well known topics of interest to practitioners in industry and research scientists. The range of topics includes languages, tools and methodologies for the semantic Web, semantic Web-based ontology management and engineering, semantic Web services, practical applications of the semantic Web techniques, artificial intelligence methods and tools for the semantic Web, software agents on the semantic Web, visualization and modeling of the semantic Web. The goal of this book is to provide a state-of-the-art review of the research as well as to introduce topics of interest to experts.Mamadou Tadiou Koné is an Assistant Professor in computer science at Université Laval, Québec, Canada. Daniel Lemire is Professor at Télé-université, Université du Québec à Montréal (UQÀM), Canada.

A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web.Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains.Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering.

Terminological Ontologies presents the main challenges affecting the discovery systems of information infrastructures to manage terminological models, while introducing a combination of research tools and applications in Semantic Web technologies.

Current middleware solutions, such as application servers and Web services, are very complex software products that are hard to tame because of intricacies of distributed systems. This work contributes an ontology-based approach to support the development and administration of middleware-based applications.

Social Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies.

Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models.

This is an edited volume that develops a common understanding of the various technologies intended to facilitate the automation of mediation, choreography and discovery for Web Services using semantic annotations.

Semantics, Web services, and Web processes promise better re-use, universal interoperability and integration.

This is an edited volume that develops a common understanding of the various technologies intended to facilitate the automation of mediation, choreography and discovery for Web Services using semantic annotations.

The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, stressing the cost dimension of ontology engineering and offering guidance on how to derive ontologies semi-automatically from existing standards and specifications.

This professional book provides a series of case studies which give examples of real benefits to be derived from the adoption of semantic web based ontologies in real world situations, such as telecommunication, B2B integration, tourism, education and more.

The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, stressing the cost dimension of ontology engineering and offering guidance on how to derive ontologies semi-automatically from existing standards and specifications.