Sciweavers

Share
MEDINFO
2007

Knowledge-Level Querying of Temporal Patterns in Clinical Research Systems

9 years 23 days ago
Knowledge-Level Querying of Temporal Patterns in Clinical Research Systems
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database systems. As a result, there is a need for principled methods to overcome the disconnect between the database representation of time-oriented research data and corresponding knowledge of domain-relevant concepts. In this paper, we present a set of methodologies for undertaking knowledge-level querying of temporal patterns, and discuss its application to the verification of temporal constraints in clinical-trial applications. Our approach allows knowledge generated from query results to be tied to the data and, if necessary, used for further inference. We show how the Semantic Web ontology and rule languages, OWL and SWRL, respectively, can support the temporal knowledge model needed to integrate low-level representations of relational data with high-level domain concepts used in research data management. We pr...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where MEDINFO
Authors Martin J. O'Connor, Ravi D. Shankar, David B. Parrish, Amar K. Das
Comments (0)
books