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 proceedingConference 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 languageEnglish
Title of host publicationIn Proceedings of the Third UK e-Science Programme All Hands Meeting (AHM 2004). 67
Number of pages8
Publication statusPublished - 2004


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