Epoch: an ontological framework to support clinical trials management
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Expressing and managing reactivity in the semantic web
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Expressing and managing reactivity in the semantic web
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Towards semantic interoperability in a clinical trials management system
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually represented in a principled fashion. As a result, investigators often develop custom techniques for temporal data analysis that are difficult to reuse. We addressed this problem by developing a set of knowledgedriven methods and tools for temporally representing and querying biomedical data, and have integrated them using a mediator approach. A central issue driving our work is a need to integrate temporal representations of data in relational databases with the domain-specific semantics of temporal patterns used in querying. This paper presents a formal temporal knowledge model using the Semantic Web ontology and rule languages, OWL and SWRL, respectively. The model informs the mediator of the temporal semantics used for data analysis. We show that our approach provides the computational foundation for much-needed software to make sense of complex temporal patterns in two biomedical research domains.