Journal of Chemical Information & Computer Sciences
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
State of the nation in data integration for bioinformatics
Journal of Biomedical Informatics
Survey of modular ontology techniques and their applications in the biomedical domain
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
vSPARQL: A view definition language for the semantic web
Journal of Biomedical Informatics
Principles of Distributed Database Systems
Principles of Distributed Database Systems
A dataflow graph transformation language and query rewriting system for RDF ontologies
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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We introduce two concepts: the Query Web as a layer of interconnected queries over the document web and the semantic web, and a Query Web Integrator and Manager (QI) that enables the Query Web to evolve. QI permits users to write, save and reuse queries over any web accessible source, including other queries saved in other installations of QI. The saved queries may be in any language (e.g. SPARQL, XQuery); the only condition for interconnection is that the queries return their results in some form of XML. This condition allows queries to chain off each other, and to be written in whatever language is appropriate for the task. We illustrate the potential use of QI for several biomedical use cases, including ontology view generation using a combination of graph-based and logical approaches, value set generation for clinical data management, image annotation using terminology obtained from an ontology web service, ontology-driven brain imaging data integration, small-scale clinical data integration, and wider-scale clinical data integration. Such use cases illustrate the current range of applications of QI and lead us to speculate about the potential evolution from smaller groups of interconnected queries into a larger query network that layers over the document and semantic web. The resulting Query Web could greatly aid researchers and others who now have to manually navigate through multiple information sources in order to answer specific questions.