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Semantic Web Services : Advancement through Evaluation - Brian Blake

Semantic Web Services

Advancement through Evaluation

By: Brian Blake (Editor), Liliana Cabral (Editor), Birgitta König-Ries (Editor)

Hardcover | 28 June 2012

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Introduction.- Part I Results from the S3 Contest: OWL-S and SAWSDL Matchmaker Evaluation Tracks.- Overview of the S3 Contest: Performance Evaluation of Semantic Service Matchmakers.- SeMa2 - a Hybrid Semantic Service Matching Approach.- OPOSSUM: Indexing Techniques for an Order-of-Magnitude Improvement of Service Matchmaking Times.- Adaptive Hybrid Selection of Semantic Services: The iSeM Matchmaker.- SPARQLent: a SPARQL Based Intelligent Agent Performing Service Matchmaking.- Semantic Annotations and Web Service Retrieval: the URBE Approach.- SAWSDL Services Matchmaking using SAWSDL-iMatcher.- Self-Adaptive Semantic Matchmaking using COV4SWS.KOM and LOG4SWS.KOM.- Part II Results from the S3 Contest: Cross Evaluation Track.- Overview of the Jena Geography Dataset Cross Evaluation.- Evaluation of Structured Collaborative Tagging for Web Service Matchmaking.- Ontology Based Discovery of Semantic Web Services with IRS-III.- Part III Results from the Semantic Web Service Challenge.- Overview of the Semantic Web Service Challenge.- Loosely Coupled Information Models for Business Process Integration - Incorporating Rule-based Semantic Bridges into BPEL.- The XMDD Approach to the Semantic Web Services Challenge.- Service Offer Discovery in the SWS Challenge Shipment Discovery Scenario.- A Solution to the Logistics Management Scenario with the Glue2 Web Service Discovery Engine.- The COSMO Solution to the SWS Challenge Mediation Problem Scenarios- An Evaluation.- Part IV Results from the Web Services Challenge.- Overview of the Web Services Challenge (WSC): Discovery and Composition of SemanticWeb Services.- Effective QoS aware service composition based on forward chaining with service space restriction.- Semantics-basedWeb Service Composition Engine.- Efficient Composition of Semantic Web Services with End-to-End QoS Optimization.

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