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Semantic Description of Text Mining Services

Authors:
Katja Pfeifer
Alexander Schill

Keywords: Text Mining, Semantic Description, Service Oriented Architecture

Abstract:
Today, a huge amount of crucial business knowledge is hidden in unstructured text sources, such as word documents, web pages or forum entries. In order to exploit this knowledge text mining techniques were developed that are able to automatically extract or annotate entities, their relations or sentiments from textual sources. Recently, a number of text mining services that offer REST or SOAP APIs for easy consumption were published. These services differ strongly in their mining abilities and result quality and are often constructed for specific use cases. In practice, it is often desirable to combine results of multiple services to increase quality and functionality. However, this result combination is difficult since descriptions of service functionalities are often rarely documented and not standardized so that searching for specific text mining characteristics is time consuming and complex. In this paper we introduce a categorization of text mining services and provide a novel description ontology for describing functional characteristics of a text mining service. The ontology, being of interest for practitioners as well as researchers, is completed by application examples and descriptions that are made publicly available. Through the ontology and the descriptions presented in this paper the automatic use and combination of different text mining services is enabled.

Pages: 21 to 26

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-227-1

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012