DocumentCode
588162
Title
RightField: Semantic enrichment of Systems Biology data using spreadsheets
Author
Wolstencroft, Katherine ; Owen, S. ; Goble, Carole ; Quyen Nguyen ; Krebs, O. ; Muller, Wayne
Author_Institution
Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK
fYear
2012
fDate
8-12 Oct. 2012
Firstpage
1
Lastpage
8
Abstract
The interpretation and integration of experimental data depends on consistent metadata and uniform annotation. However, there are many barriers to the acquisition of this rich semantic metadata, not least the overhead and complexity of its collection by scientists. We present RightField, a lightweight spreadsheet-based annotation tool for lowering the barrier of manual metadata acquisition; and a data integration application for extracting and querying RDF data from these enriched spreadsheets. By hiding the complexities of semantic annotation, we can improve the collection of rich metadata, at source, by scientists. We illustrate the approach with results from the SysMO program, showing that RightField supports the whole workflow of semantic data collection, submission and RDF querying in Systems Biology. The RightField tool is freely available from http://www.rightfield.org.uk, and the code is open source under the BSD License.
Keywords
biology computing; data integration; meta data; query processing; spreadsheet programs; RDF data extraction; RDF data querying; RightField tool; SysMO program; experimental data integration; experimental data interpretation; lightweight spreadsheet-based annotation tool; rich semantic metadata acquisition; semantic annotation; semantic data collection workflow; semantic enrichment; systems biology data; Communities; Data mining; Ontologies; Resource description framework; Semantics; Standards; Systems biology; RDF; RightField; Semantic annotation; biological data management; spreadsheet science;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Science (e-Science), 2012 IEEE 8th International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4673-4467-8
Type
conf
DOI
10.1109/eScience.2012.6404412
Filename
6404412
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