Ontology Driven Integration Platform for Clinical and Translational Research
Author Information
Author(s): Mirhaji Parsa, Zhu Min, Vagnoni Mattew, Bernstam Elmer V, Zhang Jiajie, Smith Jack W
Primary Institution: The University of Texas Health Science Center at Houston
Hypothesis
Semantic Web technologies can effectively integrate disparate biomedical data for clinical and translational research.
Conclusion
The study presents a semantic information integration platform that enhances data sharing and collaboration in clinical research.
Supporting Evidence
- The platform utilizes Semantic Web technologies for integrating and repurposing clinical data.
- Service Oriented Architecture is employed to create a modular and distributed environment for data sharing.
Takeaway
This study shows how we can use special web technologies to bring together different types of medical data so that researchers can work together better.
Methodology
The study describes the development of a semantic information integration platform using Semantic Web technologies and Service Oriented Architecture.
Digital Object Identifier (DOI)
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