The ACGT Master Ontology and its applications – Towards an ontology-driven cancer research and management system

Objective: This paper introduces the objectives, methods and results of ontology development in the EU co-funded project Advancing Clinico-genomic Trials on Cancer – Open Grid Services for Improving Medical Knowledge Discovery (ACGT). While the available data in the life sciences has recently grown...

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Veröffentlicht in:Journal of biomedical informatics 2011-02, Vol.44 (1), p.8-25
Hauptverfasser: Brochhausen, Mathias, Spear, Andrew D., Cocos, Cristian, Weiler, Gabriele, Martín, Luis, Anguita, Alberto, Stenzhorn, Holger, Daskalaki, Evangelia, Schera, Fatima, Schwarz, Ulf, Sfakianakis, Stelios, Kiefer, Stephan, Dörr, Martin, Graf, Norbert, Tsiknakis, Manolis
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container_end_page 25
container_issue 1
container_start_page 8
container_title Journal of biomedical informatics
container_volume 44
creator Brochhausen, Mathias
Spear, Andrew D.
Cocos, Cristian
Weiler, Gabriele
Martín, Luis
Anguita, Alberto
Stenzhorn, Holger
Daskalaki, Evangelia
Schera, Fatima
Schwarz, Ulf
Sfakianakis, Stelios
Kiefer, Stephan
Dörr, Martin
Graf, Norbert
Tsiknakis, Manolis
description Objective: This paper introduces the objectives, methods and results of ontology development in the EU co-funded project Advancing Clinico-genomic Trials on Cancer – Open Grid Services for Improving Medical Knowledge Discovery (ACGT). While the available data in the life sciences has recently grown both in amount and quality, the full exploitation of it is being hindered by the use of different underlying technologies, coding systems, category schemes and reporting methods on the part of different research groups. The goal of the ACGT project is to contribute to the resolution of these problems by developing an ontology-driven, semantic grid services infrastructure that will enable efficient execution of discovery-driven scientific workflows in the context of multi-centric, post-genomic clinical trials. The focus of the present paper is the ACGT Master Ontology (MO). Methods: ACGT project researchers undertook a systematic review of existing domain and upper-level ontologies, as well as of existing ontology design software, implementation methods, and end-user interfaces. This included the careful study of best practices, design principles and evaluation methods for ontology design, maintenance, implementation, and versioning, as well as for use on the part of domain experts and clinicians. Results: To date, the results of the ACGT project include (i) the development of a master ontology (the ACGT-MO) based on clearly defined principles of ontology development and evaluation; (ii) the development of a technical infrastructure (the ACGT Platform) that implements the ACGT-MO utilizing independent tools, components and resources that have been developed based on open architectural standards, and which includes an application updating and evolving the ontology efficiently in response to end-user needs; and (iii) the development of an Ontology-based Trial Management Application (ObTiMA) that integrates the ACGT-MO into the design process of clinical trials in order to guarantee automatic semantic integration without the need to perform a separate mapping process.
doi_str_mv 10.1016/j.jbi.2010.04.008
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Results: To date, the results of the ACGT project include (i) the development of a master ontology (the ACGT-MO) based on clearly defined principles of ontology development and evaluation; (ii) the development of a technical infrastructure (the ACGT Platform) that implements the ACGT-MO utilizing independent tools, components and resources that have been developed based on open architectural standards, and which includes an application updating and evolving the ontology efficiently in response to end-user needs; and (iii) the development of an Ontology-based Trial Management Application (ObTiMA) that integrates the ACGT-MO into the design process of clinical trials in order to guarantee automatic semantic integration without the need to perform a separate mapping process.</description><identifier>ISSN: 1532-0464</identifier><identifier>EISSN: 1532-0480</identifier><identifier>DOI: 10.1016/j.jbi.2010.04.008</identifier><identifier>PMID: 20438862</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Cancer research ; Clinical trial administration ; Computational Biology ; Database Management Systems ; Databases, Factual ; Humans ; Medical Informatics ; Medical Oncology ; Neoplasms ; Ontological engineering ; Ontology ; Translational medicine ; Vocabulary, Controlled</subject><ispartof>Journal of biomedical informatics, 2011-02, Vol.44 (1), p.8-25</ispartof><rights>2010 Elsevier Inc.</rights><rights>Copyright © 2010 Elsevier Inc. 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subjects Animals
Cancer research
Clinical trial administration
Computational Biology
Database Management Systems
Databases, Factual
Humans
Medical Informatics
Medical Oncology
Neoplasms
Ontological engineering
Ontology
Translational medicine
Vocabulary, Controlled
title The ACGT Master Ontology and its applications – Towards an ontology-driven cancer research and management system
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