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Text-Mining-Methoden im Semantic Web

  • Technologie
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Wirtschaftsinformatik & Management Aims and scope

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Links und Literatur

  1. Weeds, Julie; Dowdall, James; Schneider, Gerold; Keller, Bill; Weir, David: „Using Distributional Similarity to Organise BioMedical Terminology“. Terminology, 11(1), 2005.

  2. Cimiano, Philipp; Hotho, Andreas; Staab, Steffen: „Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis“. Journal of Artificial Intelligence Research 24, 2005. S. 305-339.

  3. Buitelaar, Paul; Cimiano, Philipp; Magnini, Barnardo (Hrsg.): Ontology Learning from Text: Methods, Evaluation and Applications. IOS Press, 2009.

  4. http://www.uniprot.org.

  5. http://www.ontogene.org.

  6. Schneider, Gerold; Kaljurand, Kaarel; Rinaldi, Fabio: „Detecting Protein-Protein Interactions in Biomedical Texts using a Parser and Linguistic Resources“. Best Paper Award (2nd place). In Proceedings of CICLing 2009, Mexico City. Springer LNC 5449. S. 406-417.

  7. Rinaldi, Fabio; Schneider, Gerold; Kaljurand, Kaarel; Clematide, Simon; Vachon, Thérèse; Romacker, Martin: „OntoGene in BioCreative II.5“. IEEE/ACM Transactions on Computational Biology and Bioinformatics. vol. 7, no. 3, 2010. S. 472-480.

  8. http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA/SharedTask/.

  9. http://www.biocreative.org/.

  10. Blumauer, Andreas; Hochmeister, Martin: „Tag-Recommender gestützte Annotation von Web-Dokumenten“. In Blumauer, Andreas; Pellegrini, Tassilo (Hrsg.): Social Semantic Web. Berlin: Springer, 2009.

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Authors and Affiliations

  1. Universität Zürich, Zürich, Deutschland

    Gerold Schneider

  2. Berner Fachhochschule tätig, Berner, Switzerland

    Heinrich Zimmermann

Authors
  1. Gerold Schneider
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  2. Heinrich Zimmermann
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Additional information

Einen weiterführenden Artikel der Autoren zu diesem Thema finden Sie in HMD, Praxis der Wirtschaftsinformatik, Heft 271.

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Schneider, G., Zimmermann, H. Text-Mining-Methoden im Semantic Web. Wirtsch Inform Manag 3, 28–35 (2011). https://doi.org/10.1365/s35764-011-0040-7

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  • DOI: https://doi.org/10.1365/s35764-011-0040-7

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