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SubSift web services and workflows for profiling and comparing scientists and their published works

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Original languageEnglish
Title of host publicationSixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia
Publisher or commissioning bodyIEEE Computer Society
Pages182 - 189
ISBN (Print)9780769542904
DatePublished - Dec 2010
EventIEEE e–Science Conference 2010 - Brisbane, Australia
Duration: 7 Dec 201010 Dec 2010


ConferenceIEEE e–Science Conference 2010


Scientific researchers, laboratories and organisations can be profiled and compared by analysing their published works, including documents ranging from academic papers to web sites, blog posts and Twitter feeds. This paper describes how the vector space model from information retrieval, more normally associated with full text search, has been employed in the open source SubSift software to support workflows to profile and compare such collections of documents. SubSift was originally designed to match submitted conference or journal papers to potential peer reviewers based on the similarity between the paper's abstract and the reviewer's publications as found in online bibliographic databases. The software is implemented as a family of RESTful web services that, composed into a re-usable workflow, have already been used to support several major data mining conferences. Alternative workflows and service compositions are now enabling other interesting applications.

Additional information

Other: DOI 10.1109/eScience.2010.29

    Structured keywords

  • Jean Golding


IEEE e–Science Conference 2010

Duration7 Dec 201010 Dec 2010
Degree of recognitionInternational event

Event: Conference

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