Semantics-enabled service discovery framework in the SIMDAT pharma grid.

Cangtao Qu,Falk Zimmermann,Kai Kumpf,Richard Kamuzinzi,Valérie Ledent,Robert Herzog

IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE（2008）

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摘要

We present the design and implementation of a semantics-enabled service discovery framework in the data Grids for process and product development using numerical simulation and knowledge discovery (SIMDAT) Pharma Grid, an industry-oriented Grid environment for integrating thousands of Grid-enabled biological data services and analysis services. The framework consists of three major components: the Web ontology language (OWL)-description logic (DL)-based biological domain ontology, OWL Web service ontology (OWL-S)-based service annotation, and semantic matchmaker based on the ontology reasoning. Built upon the framework, workflow technologies are extensively exploited in the SIMDAT to assist biologists in (semi)automatically performing in silico experiments. We present a typical usage scenario through the case study of a biological workflow: IXodus.

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关键词

service annotation,simdat pharma grid,owl web service ontology,biological domain ontology,web ontology language,data grid,semantics-enabled service discovery framework,ontology reasoning,analysis service,biological workflow,grid-enabled biological data service,quality of service,database management systems,grid,business,bioinformatics,service discovery,ontologies,data analysis,web service,workflow,numerical simulation,biological data,drug design,web services,semantics,grid computing,description logic,aerospace industry,product development,internet,natural language processing,ontology,owl,data mining,knowledge discovery,national electric code

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