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Conference Paper

DIDO: A Disease-determinants Ontology from Web Sources

MPS-Authors
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Nebot,  Victoria
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Ye,  Min
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Albrecht,  Mario
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44386

Eom,  Jae-Hong
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Nebot, V., Ye, M., Albrecht, M., Eom, J.-H., & Weikum, G. (2011). DIDO: A Disease-determinants Ontology from Web Sources. In S. Srinivasan, K. Ramamritham, A. Kumar, M. P. Ravindra, E. Bertino, & R. Kumar (Eds.), Proceedings of the 20th International Conference Companion on World Wide Web (pp. 237-240). New York, NY: ACM. doi:10.1145/1963192.1963298.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-1444-0
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