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Semantic web data warehousing for caGrid

McCusker, JP; Phillips, JA; Beltran, AG; Finkelstein, A; Krauthammer, M; (2009) Semantic web data warehousing for caGrid. BMC BIOINFORMATICS , 10 , Article S2. 10.1186/1471-2105-10-S10-S2. Green open access

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Abstract

The National Cancer Institute (NCI) is developing caGrid as a means for sharing cancer-related data and services. As more data sets become available on caGrid, we need effective ways of accessing and integrating this information. Although the data models exposed on caGrid are semantically well annotated, it is currently up to the caGrid client to infer relationships between the different models and their classes. In this paper, we present a Semantic Web-based data warehouse (Corvus) for creating relationships among caGrid models. This is accomplished through the transformation of semantically-annotated caBIG(R) Unified Modeling Language (UML) information models into Web Ontology Language (OWL) ontologies that preserve those semantics. We demonstrate the validity of the approach by Semantic Extraction, Transformation and Loading (SETL) of data from two caGrid data sources, caTissue and caArray, as well as alignment and query of those sources in Corvus. We argue that semantic integration is necessary for integration of data from distributed web services and that Corvus is a useful way of accomplishing this. Our approach is generalizable and of broad utility to researchers facing similar integration challenges.

Type: Article
Title: Semantic web data warehousing for caGrid
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/1471-2105-10-S10-S2
Publisher version: http://dx.doi.org/10.1186/1471-2105-10-S10-S2
Language: English
Additional information: © 2009 McCusker et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: BIOMEDICAL-RESEARCH, CANCER, IMPLEMENTATION, ARCHITECTURE, INFORMATICS, SUPPORT, CACORE, CABIG
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/153711
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