Abstract
Biomedical research is now information intensive; the volume and diversity of new data sources challenges current database technologies. The development and tuning of database technologies for biology and medicine will maintain and accelerate the current pace for innovation and discovery. New promising application fields such as the Semantic Web and Semantic Web Services can leverage the potential of biomedical information integration and discovery, facing the problem of semantic heterogeneity of biomedical information sources in a variety of storage and data formats widely distributed both across the Internet and within individual organizations. In this paper, we present BIRD, a fully-fledged biomedical information integration solution that combines natural language analysis and semantically-empowered techniques to ascertain how the user needs can be best fit. Our approach is backed with a proof-of-concept implementation where the breakthrough and efficiency of integrating the biomedical publications database PubMed, the Database of Interacting Proteins (DIP) and the Munich Information Center for Protein Sequences (MIPS) has been tested.
This work is founded by the Ministry of Science and Technology of Spain under the project DAWIS (TIC2002-04050-C02-01) and Arcadia (TIC2002-1948). We also thank the Spanish Ministry for Science and Education through the projects CIT-380000-2005-1 and TSI2004-06475-C02. The third author is supported by the Seneca Foundation through the FPI Program.
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Gomez, J.M., Rico, M., García-Sánchez, F., Liu, Y., de Mello, M.T. (2007). BIRD: Biomedical Information Integration and Discovery with Semantic Web Services. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_58
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DOI: https://doi.org/10.1007/978-3-540-73055-2_58
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