Semantic-enabled advancements on the Web applications across industries /

"This book reviews current and future trends in Semantic Web research with the aim of making existing and potential applications more accessible to a broader community of academics, practitioners, and industry professionals"--Provided by publisher.

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Sheth, A. 1959-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2012.
Subjects:
Online Access:Chapter PDFs via platform:
Table of Contents:
  • 1. Building chemical ontology for semantic web using substructures created by Chem-BLAST / Talapady N. Bhat
  • 2. A pattern-based method for re-engineering non-ontological resources into ontologies / Boris Carmen Villazón-Terrazas, Mari Suárez-Figueroa, and Asunción Gómez-Pérez
  • 3. An ontology-based, cross-application context modeling and management service / Annett Mitschick, Stefan Pietschmann, and Klaus Meissner
  • 4. Files are siles: extending file systems with semantic annotations / Bernhard Schandl, and Bernhard Haslhofer
  • 5. Towards controlled natural language for semantic annotation / Brian Davis ... [et al.]
  • 6. A tool suite to enable web designers, web application developers and end-users to handle semantic data / Mariano Rico ... [et al.]
  • 7. Adaptive hybrid semantic selection of SAWSDL services with SAWSDL-MX2 / Matthias Klusch, Patrick Kapahnke, and Ingo Zinnikus
  • 8. Enhancing folksonomy-based content retrieval with semantic web technology / Rachanee Ungrangsi, Chutiporn Anutariya, and Vilas Wuwongse
  • 9. Semantic search on unstructured data: explicit knowledge through data recycling / Alex Kohn, François Bry, and Alexander Manta
  • 10. Ontology-enhanced user interfaces: a survey / Heiko Paulheim and Florian Probst
  • 11. Integrating interactive TV services and the web through semantics / Vassileios Tsetsos ... [et al.]
  • 12. Music retrieval and recommendation scheme based on varying mood sequences / Sanghoon Jun, Seungmin Rho, and Eenjun Hwang.