Abstract
Within the health care and life sciences (HCLS) domain, a plethora of phenomena exists that range across the whole “vertical scale” of biomedicine. To accurately research and describe those phenomena, a tremendous amount of highly heterogeneous data have been produced and collected with various research methodologies encompassing the genetic, molecular, tissue, and organ level. An initial step to provide researchers with access to this data has been through creating integrated views on existing and open biomedical datasets published on the Web. In order to make the next step, we need to now create easy-to-use yet powerful applications that enable researchers to efficiently query, integrate and analyze those datasets.
Chapter PDF
Similar content being viewed by others
Keywords
- Gene Ontology Annotation
- Signal Transduction Process
- Triple Store
- Allen Brain Atlas
- Gene Ontology Annotation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Dameron, O., Rubin, D., Musen, M.: Converting the Foundational Model of Anatomy into OWL. In: Proc. AMIA Symp 2005, Washington, DC (2005)
Dolby, J., Fokoue, A., Kalyanpur, A., Kershenbaum, A., Ma, L., Schonberg, E., Srinivas, K.: Scalable Semantic Retrieval Through Summarization and Refinement. In: Proc. AAAI 2007, Vancouver, Canada (2007)
Motik, B., Cuenca Grau, B., Sattler, U.: Structured Objects in OWL: Representation and Reasoning. Technical Report, University of Oxford, UK (2007)
Fokoue, A., Kershenbaum, A., Ma, L., Schonberg, E., Srinivas, K.: The Summary Abox: Cutting Ontologies Down to Size. In: Proc. 5th International Semantic Web Conference, Athens, GA, USA (2006)
Smith, B., Ashburner, M., Rosse, C., Bard, J., Bug, W., Ceusters, W., Goldberg, L., Eilbeck, K., Ireland, A., Mungall, C., Leontis, N., Rocca-Serra, P., Ruttenberg, A., Sansone, S., Scheuermann, R., Shah, N., Whetzel, P., Lewis, S.: The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration. Nature Biotechnology 25, 1251–1255 (2007)
Sirin, E., Parsia, B., Cuenca Grau, B., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL reasoner. UMIACS Technical Report, 2005-68 (2005)
Huynh, D., Karger, D., Miller, R.: Exhibit: Lightweight Structured Data Publishing. In: Proc. of the World Wide Web 2007 Conference, Banff, Canada (2007)
Ruttenberg, A., Clark, T., Bug, W., Samwald, M., Bodenreider, O., Chen, H., Doherty, D., Forsberg, K., Gao, Y., Kashyap, V., Kinoshita, J., Luciano, J., Marshall, M., Ogbuji, C., Rees, J., Stephens, S., Wong, G., Wu, E., Zaccagnini, D., Hongsermeier, T., Neumann, E., Herman, I., Cheung, K.: Advancing translational research with the Semantic Web. BMC Bioinformatics 8 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stenzhorn, H., Srinivas, K., Samwald, M., Ruttenberg, A. (2008). Simplifying Access to Large-Scale Health Care and Life Sciences Datasets. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds) The Semantic Web: Research and Applications. ESWC 2008. Lecture Notes in Computer Science, vol 5021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68234-9_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-68234-9_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68233-2
Online ISBN: 978-3-540-68234-9
eBook Packages: Computer ScienceComputer Science (R0)