FCCC LOGO Faculty Publications
Min H , Manion FJ , Goralczyk E , Wong YN , Ross E , Beck JR
Integration of prostate cancer clinical data using an ontology
J Biomed Inform. 2009 Dec;42(6) :1035-45
PMID: 19497389    PMCID: PMC2784120   
Back to previous list
Abstract
It is increasingly important for investigators to efficiently and effectively access, interpret, and analyze the data from diverse biological, literature, and annotation sources in a unified way. The heterogeneity of biomedical data and the lack of metadata are the primary sources of the difficulty for integration, presenting major challenges to effective search and retrieval of the information. As a proof of concept, the Prostate Cancer Ontology (PCO) is created for the development of the Prostate Cancer Information System (PCIS). PCIS is applied to demonstrate how the ontology is utilized to solve the semantic heterogeneity problem from the integration of two prostate cancer related database systems at the Fox Chase Cancer Center. As the results of the integration process, the semantic query language SPARQL is applied to perform the integrated queries across the two database systems based on PCO.
Notes
Min, Hua Manion, Frank J Goralczyk, Elizabeth Wong, Yu-Ning Ross, Eric Beck, J Robert P30 CA 06927/CA/NCI NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't United States Journal of biomedical informatics J Biomed Inform. 2009 Dec;42(6):1035-45. Epub 2009 Jun 2.