Extracting knowledge from XML document repository: a semantic Web-based approach
Information Technology and Management
Detecting inconsistency in biological molecular databases using ontologies
Data Mining and Knowledge Discovery
Artificial Intelligence in Medicine
Migrating a hierarchical legacy database application onto an XML-Based service-oriented web platform
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Performance-oriented privacy-preserving data integration
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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Several hundred internet accessible life science databases with constantly growing contents and varying areas of specialization are publicly available via the internet. Database integration, consequently, is a fundamental prerequisite to be able to answer complex biological questions. Due to the presence of syntactic, schematic, and semantic heterogeneities, large scale database integration at present takes considerable efforts. As there is a growing apprehension of extensible markup language (XML) as a means for data exchange in the life sciences, this article focuses on the impact of XML technology on database integration in this area. In detail, a general architecture for ontology-driven data integration based on XML technology is introduced, which overcomes some of the traditional problems in this area. As a proof of concept, a prototypical implementation of this architecture based on a native XML database and an expert system shell is described for the realization of a real world integration scenario.