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Agent-Based Semantic Web Service Composition [electronic resource] / by Sandeep Kumar.

Por: Tipo de material: TextoTextoSeries SpringerBriefs in Electrical and Computer Engineering | SpringerBriefs in Electrical and Computer EngineeringEditor: New York, NY : Springer New York : Imprint: Springer, 2012Descripción: X, 57 p. 7 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781461446637
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 005.74 23
Clasificación LoC:
  • QA76.9.D3
Recursos en línea:
Contenidos:
Springer eBooksResumen: 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.
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Introduction -- Semantic Web Agents -- Agent-based Semantic Web Service Selection and Composition -- Multi-Attribute Negotiation Between Semantic Web Agents -- A Multi-Agent Negotiation Based Approach to Selection and Composition of Semantic Web Services.

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.

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