A Framework for Text Mining Services

Claire Grover; Harry Halpin; Ewan Klein; Jochen L. Leidner; Stephen Potter; Sebastian Riedel; Sally Scrutchin; Richard Tobin

doi:10.1.1.60.5806

A Framework for Text Mining Services

Claire Grover, Harry Halpin, Ewan Klein, Jochen L. Leidner, Stephen Potter, Sebastian Riedel, Sally Scrutchin, Richard Tobin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

The growth of online scientific literature, coupled with the growing maturity of text processing technology, has boosted the importance of text mining as a potentially crucial tool. However, there are several challenges to be addressed before sophisticated text mining services can be deployed within emerging workflow environments. Our work contributes at two levels. At the invocation
level, we have developed a flexible XML-based pipeline architecture which allows non-XML processors to be readily integrated. At the description/discovery level, we have developed a broker for service composition, and an accompanying domain ontology, that leverage the OWL-S approach to service profiles.

Original language	English
Title of host publication	In Proceedings of the Third UK e-Science Programme All Hands Meeting (AHM 2004). 67
Number of pages	8
DOIs	https://doi.org/10.1.1.60.5806
Publication status	Published - 2004

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Grover Halpin ET AL 2004 A Framework for Text Mining ServicesFinal published version, 319 KB

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5806

Cite this

@inproceedings{d0564b8a9a2940ce9ba3040057ba52a4,

title = "A Framework for Text Mining Services",

abstract = "The growth of online scientific literature, coupled with the growing maturity of text processing technology, has boosted the importance of text mining as a potentially crucial tool. However, there are several challenges to be addressed before sophisticated text mining services can be deployed within emerging workflow environments. Our work contributes at two levels. At the invocationlevel, we have developed a flexible XML-based pipeline architecture which allows non-XML processors to be readily integrated. At the description/discovery level, we have developed a broker for service composition, and an accompanying domain ontology, that leverage the OWL-S approach to service profiles.",

author = "Claire Grover and Harry Halpin and Ewan Klein and Leidner, {Jochen L.} and Stephen Potter and Sebastian Riedel and Sally Scrutchin and Richard Tobin",

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T1 - A Framework for Text Mining Services

AU - Grover, Claire

AU - Halpin, Harry

AU - Klein, Ewan

AU - Leidner, Jochen L.

AU - Potter, Stephen

AU - Riedel, Sebastian

AU - Scrutchin, Sally

AU - Tobin, Richard

PY - 2004

Y1 - 2004

N2 - The growth of online scientific literature, coupled with the growing maturity of text processing technology, has boosted the importance of text mining as a potentially crucial tool. However, there are several challenges to be addressed before sophisticated text mining services can be deployed within emerging workflow environments. Our work contributes at two levels. At the invocationlevel, we have developed a flexible XML-based pipeline architecture which allows non-XML processors to be readily integrated. At the description/discovery level, we have developed a broker for service composition, and an accompanying domain ontology, that leverage the OWL-S approach to service profiles.

AB - The growth of online scientific literature, coupled with the growing maturity of text processing technology, has boosted the importance of text mining as a potentially crucial tool. However, there are several challenges to be addressed before sophisticated text mining services can be deployed within emerging workflow environments. Our work contributes at two levels. At the invocationlevel, we have developed a flexible XML-based pipeline architecture which allows non-XML processors to be readily integrated. At the description/discovery level, we have developed a broker for service composition, and an accompanying domain ontology, that leverage the OWL-S approach to service profiles.

U2 - 10.1.1.60.5806

DO - 10.1.1.60.5806

M3 - Conference contribution

BT - In Proceedings of the Third UK e-Science Programme All Hands Meeting (AHM 2004). 67

ER -

A Framework for Text Mining Services

Abstract / Description of output

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