<p><p><i>Service Composition for the Semantic Web</i> presents an in-depth analysis of aspects related to semantic-enabled Web service modeling and composition. It also covers challenges and solutions to composing Web services on the semantic Web, and proposing a semantic framework for organizing an
Agent-Based Semantic Web Service Composition
โ Scribed by Sandeep Kumar (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2012
- Tongue
- English
- Leaves
- 61
- Series
- SpringerBriefs in Electrical and Computer Engineering
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Agent-based Semantic Web Service Composition closely examines the various aspects of SWS composition, and explores the concept that a Multi-Agent system can serve as an SWS composition system in which its agents can interact with one another to satisfy a high-level goal. In addition to surveying various proposed multi-agent-based SWS composition models, the book also highlights the cognitive parameter-based semantic web service selection models that can be used in multi-agent-based SWS composition, and outlines a new negotiation agreement-based SWS composition that can outperform existing techniques. Agent-based Semantic Web Service Composition is intended for researchers and practitioners as a reference guide for optimizing SWS composition and implementing multi-agent systems. Instructors and other academics working in a related field will also find the book invaluable.
โฆ Table of Contents
Front Matter....Pages i-x
Introduction....Pages 1-8
Semantic Web Agents....Pages 9-13
Agent-Based Semantic Web Service Selection and Composition....Pages 15-25
Multi-Attribute Negotiation Between Semantic Web Agents....Pages 27-35
A Multi-Agent Negotiation-Based Approach to Selection and Composition of Semantic Web Services....Pages 37-55
Back Matter....Pages 57-57
โฆ Subjects
Database Management; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); Information Storage and Retrieval; Computer Communication Networks
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