Integration of prostate cancer clinical data using an ontology.
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.
Min
Hua
H
Fox Chase Cancer Center, Philadelphia, PA 19111, USA. hua.min@fccc.edu
Manion
Frank J
FJ
Goralczyk
Elizabeth
E
Wong
Yu-Ning
YN
Ross
Eric
E
Beck
J Robert
JR
D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008297:Male; D011471:Prostatic Neoplasms; D012660:Semantics; D009626:Terminology as Topic; D014584:User-Computer Interface