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2016 | OriginalPaper | Buchkapitel

ProMine: A Text Mining Solution for Concept Extraction and Filtering

verfasst von : Saira Gillani, Andrea Kő

Erschienen in: Corporate Knowledge Discovery and Organizational Learning

Verlag: Springer International Publishing

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Abstract

Due to the on-going economic crisis, the management of organizational knowledge is becoming more and more important. This knowledge resides in organizational processes. The extraction of this hidden knowledge from the business processes and the usage of this knowledge for domain ontology development is a major challenge. This chapter presents ProMine, a text mining ontology extraction tool that extracts deep representations from the business processes. ProMine extracts new domain related concepts and proposes a new filtering mechanism based on a new hybrid similarity measure to filter most relevant concepts. The tool is evaluated through a case study of the insurance domain. The results showed that ProMine performance is good and it generates many new concepts against each business process.

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Vorheriges Kapitel Corporate Semantic Business Process Management

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Titel: ProMine: A Text Mining Solution for Concept Extraction and Filtering
verfasst von: Saira Gillani
Andrea Kő
Verlag: Springer International Publishing
Buch: Corporate Knowledge Discovery and Organizational Learning
Print ISBN: 978-3-319-28915-1

Electronic ISBN: 978-3-319-28917-5

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-28917-5_3

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