Title
Data procurement for enabling scientific workflows: on exploring inter-ant parasitism
Abstract
Similar to content on the web, scientific data is highly heterogeneous and can benefit from rich semantic descriptions. We are particularly interested in developing an infrastructure for expressing explicit semantic descriptions of ecological data (and life-sciences data in general), and exploiting these descriptions to provide support for automated data integration and transformation within scientific workflows [2]. Using semantic descriptions, our goal is to provide scientists with: (1) tools to easily search for and retrieve datasets relevant to their study (i.e., data procurement), (2) the ability to select a subset of returned datasets as input to a scientific workflow, and (3) automated integration and restructuring of the selected datasets for seamless workflow execution.
Year
DOI
Venue
2004
10.1007/978-3-540-31839-2_5
SWDB
Keywords
Field
DocType
life-sciences data,scientific workflows,explicit semantic description,selected datasets,rich semantic description,data procurement,inter-ant parasitism,automated data integration,scientific workflow,scientific data,ecological data,data integrity
Data integration,Data mining,Conjunctive query,Information retrieval,Computer science,Procurement,Workflow,Database,Restructuring
Conference
Volume
ISSN
ISBN
3372
0302-9743
3-540-24576-6
Citations 
PageRank 
References 
5
0.81
5
Authors
4
Name
Order
Citations
PageRank
Shawn Bowers1122386.44
David Thau2274.06
Rich Williams382.02
Bertram Ludäscher41879239.67