Integration of prostate cancer clinical data using an ontology

Authors:
Hua Min;Frank J. Manion;Elizabeth Goralczyk;Yu-Ning Wong;Eric Ross;J. Robert Beck
Affiliations:
Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA;Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA;Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA;Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA;Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA;Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA
Venue:
Journal of Biomedical Informatics
Year:
2009

Citing 11
Cited 4

A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Data integration: a theoretical perspective

Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Querying Heterogeneous Information Sources Using Source Descriptions

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
The PROMPT suite: interactive tools for ontology merging and mapping

International Journal of Human-Computer Studies
Building Business Intelligence Applications with .NET

Building Business Intelligence Applications with .NET
A reference ontology for biomedical informatics: the foundational model of anatomy

Journal of Biomedical Informatics - Special issue: Unified medical language system
Data integration through database federation

IBM Systems Journal
The MGED Ontology: a resource for semantics-based description of microarray experiments

Bioinformatics
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information

Journal of Biomedical Informatics
caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability

Journal of Biomedical Informatics
Architecture of a mediator for a bioinformatics database federation

IEEE Transactions on Information Technology in Biomedicine

DW4TR: A Data Warehouse for Translational Research

Journal of Biomedical Informatics
Applying linked data principles to represent patient's electronic health records at Mayo clinic: a case report

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
An ontology of cancer therapies supporting interoperability and data consistency in EPRs

Computers in Biology and Medicine
A hybrid fuzzy-ontology based intelligent system to determine level of severity and treatment recommendation for Benign Prostatic Hyperplasia

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.01

Visualization

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.