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MBlab: Molecular Biodiversity Laboratory

  • Conference paper
Digital Libraries and Archives (IRCDL 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 249))

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Abstract

Technologies in available biomedical repositories do not yet provide adequate mechanisms to support the understanding and analysis of the stored content. In this project we investigate this problem under different perspectives. Our contribution is the design of computational solutions for the analysis of biomedical documents and images. These integrate sophisticated technologies and innovative approaches of Information Extraction, Data Mining and Machine Learning to perform descriptive tasks of knowledge discovery from biomedical repositories.

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References

  1. Appice, A., Ceci, M., Loglisci, C.: Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. In: Proc. of International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2010, pp. 120–125 (2010)

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  2. Loglisci, C., Ceci, M.: Discovering Temporal Bisociations for Linking Concepts over Time. In: Proceedings of European Conference on Machine Learning and Principle and Practices of Knowledge Discovery in Databases, Athens, Greece (2011)

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  3. Basile, T.M.A., Esposito, F., Caponetti, L.: A Multi-relational Learning Approach for Knowledge Extraction in in Vitro Fertilization Domain. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Chung, R., Hammoud, R., Hussain, M., Kar-Han, T., Crawfis, R., Thalmann, D., Kao, D., Avila, L. (eds.) ISVC 2010. LNCS, vol. 6453, pp. 571–581. Springer, Heidelberg (2010)

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Bari “Aldo Moro”, Italy

    Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba & Floriana Esposito

Authors
  1. Corrado Loglisci
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  2. Annalisa Appice
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  3. Michelangelo Ceci
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  4. Donato Malerba
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  5. Floriana Esposito
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Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Via Gradenigo, 6/a, 35131, Padua, Italy

    Maristella Agosti

  2. Department of Computer Science, University of Bari, Via E. Orabona, 4, 70126, Bari, Italy

    Floriana Esposito

  3. Institute for Information Science and Technologies, Italian National Research Council (ISTI-CNR), Via G. Moruzzi, 1, 56124, Pisa, Italy

    Carlo Meghini

  4. Department of Information Engineering, University of Padova, Via Gradenigo, 6/a, 35131, Padua, Italy

    Nicola Orio

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© 2011 Springer-Verlag Berlin Heidelberg

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Loglisci, C., Appice, A., Ceci, M., Malerba, D., Esposito, F. (2011). MBlab: Molecular Biodiversity Laboratory. In: Agosti, M., Esposito, F., Meghini, C., Orio, N. (eds) Digital Libraries and Archives. IRCDL 2011. Communications in Computer and Information Science, vol 249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27302-5_18

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  • DOI: https://doi.org/10.1007/978-3-642-27302-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27301-8

  • Online ISBN: 978-3-642-27302-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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