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Data shopping in an open marketplace: introducing the Ontogrator web application for marking up data using ontologies and browsing using facets

Norman Morrison, David Hancock, Lynette Hirschman, Peter Dawyndt UGent, Bert Verslyppe UGent, Nikos Kyrpides, Renzo Kottmann, Pelin Yilmaz, Frank Oliver Glöckner and Jeff Grethe, et al. (2011) STANDARDS IN GENOMIC SCIENCES. 4(2). p.286-292
abstract
In the future, we hope to see an open and thriving data market in which users can find and select data from a wide range of data providers. In such an open access market, data are products that must be packaged accordingly. Increasingly, eCommerce sellers present heterogeneous product lines to buyers using faceted browsing. Using this approach we have developed the Ontogrator platform, which allows for rapid retrieval of data in a way that would be familiar to any online shopper. Using Knowledge Organization Systems (KOS), especially ontologies, Ontogrator uses text mining to mark up data and faceted browsing to help users navigate, query and retrieve data. Ontogrator offers the potential to impact scientific research in two major ways: 1) by significantly improving the retrieval of relevant information; and 2) by significantly reducing the time required to compose standard database queries and assemble information for further research. Here we present a pilot implementation developed in collaboration with the Genomic Standards Consortium (GSC) that includes content from the StrainInfo, GOLD, CAMERA, Silva and Pubmed databases. This implementation demonstrates the power of ontogration and highlights that the usefulness of this approach is fully dependent on both the quality of data and the KOS (ontologies) used. Ideally, the use and further expansion of this collaborative system will help to surface issues associated with the underlying quality of annotation and could lead to a systematic means for accessing integrated data resources.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
INFORMATION, INTEGRATION, COMMUNITY, RESOURCE
journal title
STANDARDS IN GENOMIC SCIENCES
Stand. Genomic Sci.
volume
4
issue
2
pages
286 - 292
Web of Science type
Article
Web of Science id
000292340300017
JCR category
MICROBIOLOGY
JCR impact factor
1.621 (2011)
JCR rank
79/111 (2011)
JCR quartile
3 (2011)
ISSN
1944-3277
DOI
10.4056/sigs.1344279
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
2960247
handle
http://hdl.handle.net/1854/LU-2960247
date created
2012-07-10 11:58:09
date last changed
2012-07-12 16:27:58
@article{2960247,
  abstract     = {In the future, we hope to see an open and thriving data market in which users can find and select data from a wide range of data providers. In such an open access market, data are products that must be packaged accordingly. Increasingly, eCommerce sellers present heterogeneous product lines to buyers using faceted browsing. Using this approach we have developed the Ontogrator platform, which allows for rapid retrieval of data in a way that would be familiar to any online shopper. Using Knowledge Organization Systems (KOS), especially ontologies, Ontogrator uses text mining to mark up data and faceted browsing to help users navigate, query and retrieve data. Ontogrator offers the potential to impact scientific research in two major ways: 1) by significantly improving the retrieval of relevant information; and 2) by significantly reducing the time required to compose standard database queries and assemble information for further research. Here we present a pilot implementation developed in collaboration with the Genomic Standards Consortium (GSC) that includes content from the StrainInfo, GOLD, CAMERA, Silva and Pubmed databases. This implementation demonstrates the power of ontogration and highlights that the usefulness of this approach is fully dependent on both the quality of data and the KOS (ontologies) used. Ideally, the use and further expansion of this collaborative system will help to surface issues associated with the underlying quality of annotation and could lead to a systematic means for accessing integrated data resources.},
  author       = {Morrison, Norman and Hancock, David and Hirschman, Lynette and Dawyndt, Peter and Verslyppe, Bert and Kyrpides, Nikos and Kottmann, Renzo and Yilmaz, Pelin and Gl{\"o}ckner, Frank Oliver and Grethe, Jeff and Booth, Tim and Sterk, Peter and Nenadic, Goran and Field, Dawn},
  issn         = {1944-3277},
  journal      = {STANDARDS IN GENOMIC SCIENCES},
  keyword      = {INFORMATION,INTEGRATION,COMMUNITY,RESOURCE},
  language     = {eng},
  number       = {2},
  pages        = {286--292},
  title        = {Data shopping in an open marketplace: introducing the Ontogrator web application for marking up data using ontologies and browsing using facets},
  url          = {http://dx.doi.org/10.4056/sigs.1344279},
  volume       = {4},
  year         = {2011},
}

Chicago
Morrison, Norman, David Hancock, Lynette Hirschman, Peter Dawyndt, Bert Verslyppe, Nikos Kyrpides, Renzo Kottmann, et al. 2011. “Data Shopping in an Open Marketplace: Introducing the Ontogrator Web Application for Marking up Data Using Ontologies and Browsing Using Facets.” Standards in Genomic Sciences 4 (2): 286–292.
APA
Morrison, N., Hancock, D., Hirschman, L., Dawyndt, P., Verslyppe, B., Kyrpides, N., Kottmann, R., et al. (2011). Data shopping in an open marketplace: introducing the Ontogrator web application for marking up data using ontologies and browsing using facets. STANDARDS IN GENOMIC SCIENCES, 4(2), 286–292.
Vancouver
1.
Morrison N, Hancock D, Hirschman L, Dawyndt P, Verslyppe B, Kyrpides N, et al. Data shopping in an open marketplace: introducing the Ontogrator web application for marking up data using ontologies and browsing using facets. STANDARDS IN GENOMIC SCIENCES. 2011;4(2):286–92.
MLA
Morrison, Norman, David Hancock, Lynette Hirschman, et al. “Data Shopping in an Open Marketplace: Introducing the Ontogrator Web Application for Marking up Data Using Ontologies and Browsing Using Facets.” STANDARDS IN GENOMIC SCIENCES 4.2 (2011): 286–292. Print.