myGrid: personalised bioinformatics on the information grid
Robert Stevens,Alan J. Robinson,Carole Goble +2 more
- Vol. 19, pp 302-304
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TLDR
(my)Grid is building high level services for data and application integration such as resource discovery, workflow enactment and distributed query processing, and semantically rich metadata expressed using ontologies necessary to discover, select and compose services into dynamic workflows.Abstract:
Motivation: The my Grid project aims to exploit Grid technology, with an emphasis on the Information Grid, and provide middleware layers that make it appropriate for the needs of bioinformatics. my Grid is building high level services for data and application integration such as resource discovery, workflow enactment and distributed query processing. Additional services are provided to support the scientific method and best practice found at the bench but often neglected at the workstation, notably provenance management, change notification and personalisation. Results: We give an overview of these services and their metadata. In particular, semantically rich metadata expressed using ontologies necessary to discover, select and compose services into dynamic workflows. Availability: Software is available on request from the authors and information from http://www.mygrid.org.uk.read more
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A Taxonomy of Workflow Management Systems for Grid Computing
Jia Yu,Rajkumar Buyya +1 more
TL;DR: A taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids is proposed that highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.
Journal ArticleDOI
A Taxonomy of Workflow Management Systems for Grid Computing
Jia Yu,Rajkumar Buyya +1 more
TL;DR: In this article, a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids has been proposed, highlighting the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, and identifying the areas that need further research.
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A survey of data provenance techniques
TL;DR: The main aspect of the taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and storeprovenance, and ways to disseminate it can help those building scientific and business metadata-management systems to understand existing provenance system designs.
Book ChapterDOI
Using semantic web technologies for representing E-science provenance
TL;DR: This work explores the use of Semantic Web technologies such as RDF, and ontologies to support its representation and used existing initiatives such as Jena and LSID, to generate and store such material.
References
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