Semantics Empowered Web 3.0

TRAMA

After the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptualor domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications

SOMMARIO

Role of Semantics and Metadata.- Types and Models of Semantics.- Annotation -- Adding Semantics to Data.- Semantics for Enterprise Data.- Semantics for Services.- Semantics for Sensor Data.- Semantics for Social Data.- Semantics for Cloud Computing.- Semantics for Advanced Applications.

AUTORE

Amit Sheth is a researcher,educator,and entrepreneur.Currently,he is the LexisNexis Ohio Eminent Scholar and directs the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis: http://knoesis.org) at Wright State University. His career spans industry R&D (Honeywell, Unisys, Bellcore), academia (University of Georgia and Wright State), and start ups, including a Semantic Web company founded in 1999 (Taalee/Voquette/Semagix; now Actimize). Significant amount of his research has also led to open-source tools, operational business and scientific applica tions, and commercial technologies/products. He is one of the top (highly cited) authors in World Wide Web, databases, and computer science Krishnaprasad Thirunarayan is a Professor at the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis: http://knoesis.org) at Wright State University. His research interests are in semantic analysis and abstraction of sensor, social, and biomedical data, and semantics of trust. His teaching interests are in all aspects of programming languages

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031007668
• Collana: Synthesis Lectures on Data Management
• Dimensioni: 235 x 191 mm
• Formato: Brossura
• Illustration Notes: XVI, 159 p.
• Pagine Arabe: 159
• Pagine Romane: xvi