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Bisociative Exploration of Biological and Financial Literature Using Clustering

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Abstract

Thebile acid and xenobiotic system describes a biological network or system that facilitates detoxification and removal from the body of harmful xenobiotic and endobiotic compounds. While life scientists have developed a relatively comprehensive understanding of this system, many mechanistic details are yet to be discovered. Critical mechanisms are those which are likely to significantly further our understanding of the fundamental components and the interaction patterns that govern this systems gene expression and the identification of potential regulatory nodes. Our working assumption is that a creative information exploration of available bile acid and xenobiotic system information could support the development (and testing) of novel hypotheses about this system. To explore this we have set up an information space consisting of information from biology and finance, which we consider to be two semantically distant knowledge domains and therefore have a high potential for interesting bisociations. Using a cross-context clustering approach and outlier detection, we identify bisociations and evaluate their value in terms of their potential as novel biological hypotheses.

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References

  1. Barone, G., Gurley, B., Ketel, B., Lightfoot, M., Abul-Ezz, S.: Drug interaction between St. John’s wort and cyclosporine. The Annals of Pharmacotherapy 34(9), 1013–1016 (2000)

    Article  Google Scholar 

  2. Dubitzky, W., Kötter, T., Schmidt, O., Berthold, M.R.: Towards Creative Information Exploration Based on Koestler’s Concept of Bisociation. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 11–32. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Fortuna, B., Grobelnik, M., Mladenič, D.: Visualization of text document corpus (2005)

    Google Scholar 

  4. Fortuna, B., Grobelnik, M., Mladenič, D.: Semi-automatic data-driven ontology construction system (2006)

    Google Scholar 

  5. Fortuna, B., Grobelnik, M., Mladenic, D.: OntoGen: Semi-automatic Ontology Editor. In: Smith, M.J., Salvendy, G. (eds.) HCII 2007, Part II. LNCS, vol. 4558, pp. 309–318. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  6. Fortuna, B., Mladenič, D., Grobelnik, M.: Semi-automatic Construction of Topic Ontologies. In: Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenič, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svátek, V., van Someren, M. (eds.) EWMF 2005 and KDO 2005. LNCS (LNAI), vol. 4289, pp. 121–131. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Hall, S.D., Wang, Z., Huang, S., Hamman, M.A., Vasavada, N., Adigun, A.Q., Hilligoss, J.K., Miller, M., Gorski, J.C.: The interaction between St. John’s wort and an oral contraceptive[ast]. Clinical Pharmacology and Therapeutics 74(6), 525–535 (2003)

    Article  Google Scholar 

  8. Kliewer, S.A.: The nuclear pregnane X receptor regulates xenobiotic detoxification. The Journal of Nutrition  133(7), 2444S–2447S (2003)

    Article  Google Scholar 

  9. Natarajan, J., Berrar, D., Hack, C.J., Dubitzky, W.: Knowledge discovery in biology and biotechnology texts: A review of techniques, evaluation strategies, and applications. Critical Reviews in Biotechnology 25(1-2), 31–52 (2005)

    Article  Google Scholar 

  10. Petrič, I., Cestnik, B., Lavrač, N., Urbančič, T.: Outlier detection in cross-context link discovery for creative literature mining. The Computer Journal (2010), doi:10.1093/comjnl/bxq074

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Ulster, Northern Ireland, UK

    Oliver Schmidt, Paul Thompson & Werner Dubitzky

  2. Jozef Stefan Institute, Ljubljana, Slovenia

    Janez Kranjc & Igor Mozetič

Authors
  1. Oliver Schmidt

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  2. Janez Kranjc

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  3. Igor Mozetič

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  4. Paul Thompson

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  5. Werner Dubitzky

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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Konstanz, Konstanz, Germany

    Michael R. Berthold

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Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Schmidt, O., Kranjc, J., Mozetič, I., Thompson, P., Dubitzky, W. (2012). Bisociative Exploration of Biological and Financial Literature Using Clustering. In: Berthold, M.R. (eds) Bisociative Knowledge Discovery. Lecture Notes in Computer Science(), vol 7250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31830-6_31

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