A query language for a Web-site management system
ACM SIGMOD Record
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
A survey of data provenance in e-science
ACM SIGMOD Record
Incorporating Uncertainty Metrics into a General-Purpose Data Integration System
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Query capabilities of the Karma provenance framework
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Mining Taverna's semantic web of provenance
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Semantic Provenance for eScience: Managing the Deluge of Scientific Data
IEEE Internet Computing
The Open Provenance Model: An Overview
Provenance and Annotation of Data and Processes
BioBrowsing: Making the Most of the Data Available in Entrez
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
On the Reachability of Trustworthy Information from Integrated Exploratory Biological Queries
DILS '09 Proceedings of the 6th International Workshop on Data Integration in the Life Sciences
Link discovery in graphs derived from biological databases
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
A framework for XML-Based integration of data, visualization and analysis in a biomedical domain
XSym'05 Proceedings of the Third international conference on Database and XML Technologies
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Though there have been many advances in providing access to linked and integrated biomedical data across repositories, developing methods which allow users to specify ambiguous and exploratory queries over disparate sources remains a challenge to extracting well-curated or diversely-supported biological information. In the following work, we discuss the concepts of data coverage and evidence in the context of integrated sources. We address diverse information retrieval via a simple framework for representing coverage and evidence that operates in parallel with an arbitrary schema, and a language upon which queries on the schema and framework may be executed. We show that this approach is capable of answering questions that require ranged levels of evidence or triangulation, and demonstrate that appropriately-formed queries can significantly improve the level of precision when retrieving well-supported biomedical data.