Semantic Techniques for the Web The REWERSE Perspective / [electronic resource] :
edited by Francois Bry, Jan Maluszynski.
- 1st ed. 2009.
- XV, 377 p. online resource.
- Information Systems and Applications, incl. Internet/Web, and HCI, 5500 2946-1642 ; .
- Information Systems and Applications, incl. Internet/Web, and HCI, 5500 .
Hybrid Reasoning with Rules and Ontologies -- Four Lessons in Versatility or How Query Languages Adapt to the Web -- Evolution and Reactivity in the Semantic Web -- Rule-Based Policy Representations and Reasoning -- Component Models for Semantic Web Languages -- Controlled English for Reasoning on the Semantic Web -- Semantic Search with GoPubMed -- Information Integration in Bioinformatics with Ontologies and Standards.
The objective of this state-of-the-art survey is to give a coherent overview of the main topics and results achieved by the Network of Excellence REWERSE on "Reasoning on the Web", funded by the European Commission and Switzerland within the "6th Framework Programme" (FP6), from 2004 to 2008. The material has been organized into eight chapters, each of which addresses one of the main topics of REWERSE: hybrid reasoning with rules and ontologies, lessons in versatility or how query languages adapt to the Web, evolution and reactivity in the Semantic Web, rule-based policy representations and reasoning, component models for Semantic Web languages, controlled English for reasoning on the Semantic Web, semantic search with GoPubMed, and information integration in bioinformatics with ontologies and standards. Each chapter gives an in-depth coverage of the subject and provides an extensive bibliography with pointers to further literature.
9783642045813
10.1007/978-3-642-04581-3 doi
Application software. Information storage and retrieval systems. Artificial intelligence. Computer networks . Data mining. Business information services. Computer and Information Systems Applications. Information Storage and Retrieval. Artificial Intelligence. Computer Communication Networks. Data Mining and Knowledge Discovery. IT in Business.