Abstract
A computational grid infrastructure for biomedical research, called caGrid, is under development by the National Cancer Institute (NCI) as part of the cancer Biomedical Informatics Grid (caBIG) Initiative. In this paper we present a model that enables users to query an integrated view of caBIG data services at a conceptual semantic level. The model is based on semCDI, a formulation to generate an ontology view of caBIG semantics and pose queries against this view using the SPARQL query language complemented with Horn rules. We present here a mechanism to process these queries algebraically using our semQA query algebra extension for SPARQL, in order to create sub-expressions for each data service. We then show how resulting graphs from these sub-expressions are then merged using Horn rules.
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Shironoshita, E.P., Bradley, R.M., Jean-Mary, Y.R., Taylor, T.J., Ryan, M.T., Kabuka, M.R. (2008). Semantic Representation and Querying of caBIG Data Services. In: Bairoch, A., Cohen-Boulakia, S., Froidevaux, C. (eds) Data Integration in the Life Sciences. DILS 2008. Lecture Notes in Computer Science(), vol 5109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69828-9_10
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DOI: https://doi.org/10.1007/978-3-540-69828-9_10
Publisher Name: Springer, Berlin, Heidelberg
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