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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

Standard

SubSift web services and workflows for profiling and comparing scientists and their published works. / Price, S; Flach, PA; Spiegler, SR; Bailey, CP; Rogers, N.

Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. IEEE Computer Society, 2010. p. 182 - 189.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Price, S, Flach, PA, Spiegler, SR, Bailey, CP & Rogers, N 2010, SubSift web services and workflows for profiling and comparing scientists and their published works. in Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. IEEE Computer Society, pp. 182 - 189, IEEE e–Science Conference 2010, Brisbane, Australia, 7/12/10.

APA

Price, S., Flach, PA., Spiegler, SR., Bailey, CP., & Rogers, N. (2010). SubSift web services and workflows for profiling and comparing scientists and their published works. In Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia (pp. 182 - 189). IEEE Computer Society.

Vancouver

Price S, Flach PA, Spiegler SR, Bailey CP, Rogers N. SubSift web services and workflows for profiling and comparing scientists and their published works. In Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. IEEE Computer Society. 2010. p. 182 - 189

Author

Price, S ; Flach, PA ; Spiegler, SR ; Bailey, CP ; Rogers, N. / SubSift web services and workflows for profiling and comparing scientists and their published works. Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. IEEE Computer Society, 2010. pp. 182 - 189

Bibtex

@inproceedings{3009fea7a0a94e57b90ef25e3c700d69,
title = "SubSift web services and workflows for profiling and comparing scientists and their published works",
abstract = "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.",
author = "S Price and PA Flach and SR Spiegler and CP Bailey and N Rogers",
note = "Other: DOI 10.1109/eScience.2010.29",
year = "2010",
month = "12",
language = "English",
isbn = "9780769542904",
pages = "182 -- 189",
booktitle = "Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia",
publisher = "IEEE Computer Society",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - SubSift web services and workflows for profiling and comparing scientists and their published works

AU - Price, S

AU - Flach, PA

AU - Spiegler, SR

AU - Bailey, CP

AU - Rogers, N

N1 - Other: DOI 10.1109/eScience.2010.29

PY - 2010/12

Y1 - 2010/12

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 9780769542904

SP - 182

EP - 189

BT - Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia

PB - IEEE Computer Society

ER -