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Finding new technological ideas and inventions with text mining and technique philosophy

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Abstract
Text mining refers generally to the process of deriving high quality information from unstructured texts. Unstructured texts come in many shapes and sizes. It may be stored in research papers, articles in technical periodicals, reports, documents, web pages etc. Here we introduce a new approach for finding textual patterns representing new technological ideas and inventions in unstructured technological texts. This text mining approach follows the statements of technique philosophy. Therefore a technological idea or invention represents not only a new mean, but a new purpose and mean combination. By systematic identification of the purposes, means and purpose-mean combinations in unstructured technological texts compared to specialized reference collections, a (semi-) automatic finding of ideas and inventions can be realized. Characteristics that are used to measure the quality of these patterns found in technological texts are comprehensibility and novelty to humans and usefulness for an application.

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Chicago
Thorleuchter, Dirk. 2008. “Finding New Technological Ideas and Inventions with Text Mining and Technique Philosophy.” In Studies in Classification, Data Analysis, and Knowledge Organization, ed. Christine Preisach, Hans Burkhardt, Lars Schmidt Thieme, and Reinhold Decker, 413–420. Berlin, Germany: Springer.
APA
Thorleuchter, D. (2008). Finding new technological ideas and inventions with text mining and technique philosophy. In C. Preisach, H. Burkhardt, L. Schmidt Thieme, & R. Decker (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization (pp. 413–420). Presented at the 31st Annual conference of the German Classification Society, Berlin, Germany: Springer.
Vancouver
1.
Thorleuchter D. Finding new technological ideas and inventions with text mining and technique philosophy. In: Preisach C, Burkhardt H, Schmidt Thieme L, Decker R, editors. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin, Germany: Springer; 2008. p. 413–20.
MLA
Thorleuchter, Dirk. “Finding New Technological Ideas and Inventions with Text Mining and Technique Philosophy.” Studies in Classification, Data Analysis, and Knowledge Organization. Ed. Christine Preisach et al. Berlin, Germany: Springer, 2008. 413–420. Print.
@inproceedings{3060821,
  abstract     = {Text mining refers generally to the process of deriving high quality information from unstructured texts. Unstructured texts come in many shapes and sizes. It may be stored in research papers, articles in technical periodicals, reports, documents, web pages etc. Here we introduce a new approach for finding textual patterns representing new technological ideas and inventions in unstructured technological texts. 
This text mining approach follows the statements of technique philosophy. Therefore a technological idea or invention represents not only a new mean, but a new purpose and mean combination. By systematic identification of the purposes, means and purpose-mean combinations in unstructured technological texts compared to specialized reference collections, a (semi-) automatic finding of ideas and inventions can be realized. Characteristics that are used to measure the quality of these patterns found in technological texts are comprehensibility and novelty to humans and usefulness for an application.},
  author       = {Thorleuchter, Dirk},
  booktitle    = {Studies in Classification, Data Analysis, and Knowledge Organization},
  editor       = {Preisach, Christine and Burkhardt, Hans and Schmidt Thieme, Lars and Decker, Reinhold},
  isbn         = {9783540782469},
  issn         = {1431-8814},
  language     = {eng},
  location     = {Freiburg, Germany},
  pages        = {413--420},
  publisher    = {Springer},
  title        = {Finding new technological ideas and inventions with text mining and technique philosophy},
  url          = {http://dx.doi.org/10.1007/978-3-540-78246-9\_49},
  year         = {2008},
}

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