Applications of the ACGT Master Ontology on Cancer

  • Authors:

  • Mathias Brochhausen;Gabriele Weiler;Luis Martín;Cristian Cocos;Holger Stenzhorn;Norbert Graf;Martin Dörr;Manolis Tsiknakis;Barry Smith

  • Affiliations:

  • IFOMIS, Saarland University, Saarbrücken, Germany 66041;Fraunhofer Institute for Biomedical Engineering, St. Ingbert, Germany;Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid, Madrid, Spain;IFOMIS, Saarland University, Saarbrücken, Germany 66041;Institute of Medical Biometry and Medical Informatics, University Medical Center, Freiburg, Germany;Paediatric Haematology and Oncology, Saarland University Hospital, Homburg, Germany;Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece;Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), Heraklion, Greece;IFOMIS, Saarland University, Saarbrücken, Germany 66041 and Department of Philosophy and New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, USA

  • Venue:
  • OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
  • Year:
  • 2008

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Abstract

In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data. The development of a new ontology was necessary due to problems with existing biomedical ontologies in oncology. The ACGT MO is a test case for the application of best practices in ontology development. This paper provides an overview of the application of the ontology within the ACGT project thus far.