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Mining ideas from textual information

: Thorleuchter, D.; Poel, D. van den; Prinzie, A.

Postprint urn:nbn:de:0011-n-1459274 (349 KByte PDF)
MD5 Fingerprint: 3b425f80d84dc64d6a2c5831be79b427
Erstellt am: 17.6.2011

Expert Systems with Applications 37 (2010), Nr.10, S.7182-7188
ISSN: 0957-4174
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer INT ()
idea mining; text mining; text classification; technology

This approach introduces idea mining as process of extracting new and useful ideas from unstructured text. We use an idea definition from technique philosophy and we focus on ideas that can be used to solve technological problems.
The rationale for the idea mining approach is taken over from psychology and cognitive science and follows how persons create ideas. To realize the processing, we use methods from text mining and text classification (tokenization, term filtering methods, Euclidean distance measure etc.) and combine them with a new heuristic measure for mining ideas.
As a result, the idea mining approach extracts automatically new and useful ideas from an user given text. We present these problem solution ideas in a comprehensible way to support users in problem solving. This approach is evaluated with patent data and it is realized as a web-based application, named 'Technological Idea Miner' that can be used for further testing and evaluation.