DocumentCode :
1640018
Title :
Metadata Management in the Taverna Workflow System
Author :
Belhajjame, Khalid ; Wolstencroft, Katy ; Corcho, Oscar ; Oinn, Tom ; Tanoh, Franck ; William, Alan ; Goble, Carole
Author_Institution :
Sch. of Comput. Sci., Univ. of Manchester, Manchester
fYear :
2008
Firstpage :
651
Lastpage :
656
Abstract :
There seems to be a general consensus on the crucial role metadata can play for enhancing the functionalities of scientific workflows systems, e.g., workflow and service discovery, composition and provenance browsing, among others. However, in most cases their management is under-specified, if not left unaddressed at all. A step in this direction, the main contribution of the work presented in this paper is an overview of metadata and their management in the Taverna workflow system. In Taverna, we consider metadata to be a first class citizen in the system, in the sense that we fully cover their life cycle from their creation, through their use and curation until their eventual removal. We present the main steps of this cycle and present the models used for metadata specification. In doing so, we distinguish two classes of metadata: metadata that describe workflow related entities, such as services, workflows and sub- workflows, and metadata that describe workflow executions, also known as workflow provenance.
Keywords :
data models; grid computing; meta data; ontologies (artificial intelligence); scientific information systems; workflow management software; Taverna workflow system; data model; grid computing; metadata management; metadata ontology specification; scientific workflow system; workflow execution; workflow provenance; Bioinformatics; Computer science; Debugging; Grid computing; Humans; Ontologies; Performance analysis; Semantic Web; Metadata; Provenance; Scientific Workflows; Semantic annotations; Taverna;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2008. CCGRID '08. 8th IEEE International Symposium on
Conference_Location :
Lyon
Print_ISBN :
978-0-7695-3156-4
Electronic_ISBN :
978-0-7695-3156-4
Type :
conf
DOI :
10.1109/CCGRID.2008.17
Filename :
4534278
Link To Document :
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