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

S Price; PA Flach; SR Spiegler; CP Bailey; N Rogers

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

S Price, PA Flach, SR Spiegler, CP Bailey, N Rogers

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

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.

Translated title of the contribution	SubSift web services and workflows for profiling and comparing scientists and their published works
Original language	English
Title of host publication	Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia
Publisher	IEEE Computer Society
Pages	182 - 189
ISBN (Print)	9780769542904
Publication status	Published - Dec 2010
Event	IEEE e–Science Conference 2010 - Brisbane, Australia Duration: 7 Dec 2010 → 10 Dec 2010

Conference

Conference	IEEE e–Science Conference 2010
Country/Territory	Australia
City	Brisbane
Period	7/12/10 → 10/12/10

Bibliographical note

Other: DOI 10.1109/eScience.2010.29

Structured keywords

Jean Golding

Access to Document

http://www.cs.bris.ac.uk/Publications/Papers/2001258.pdf

Cite this

@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; IEEE e–Science Conference 2010 ; Conference date: 07-12-2010 Through 10-12-2010",

year = "2010",

month = dec,

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",

}

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. <http://www.cs.bris.ac.uk/Publications/Papers/2001258.pdf>

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 proceeding › Conference Contribution (Conference Proceeding)

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 (Conference Proceeding)

SN - 9780769542904

SP - 182

EP - 189

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

PB - IEEE Computer Society

T2 - IEEE e–Science Conference 2010

Y2 - 7 December 2010 through 10 December 2010

ER -

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

Abstract

Conference

Bibliographical note

Structured keywords

Access to Document

Fingerprint

Cite this