This paper makes initial steps towards an ontology of quantitative research, in support of computer-aided scientific research. It identifies some key elements of the quantitative research process, outlines an ideal workflow, identifies further requirements and discusses how some of these aspects can be implemented for e-science. An implementation is sketched in which objects are related to the ontology and in which processes in the ontology can be initiated on objects. In addition, we report the application of an ontology of units of measure and related concepts, constituting a part of the concepts required in an ontology of quantitative research, in a unit and dimension consistency checking service, an example of a quantitative research service.
|Title of host publication||Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA|
|Editors||D.L. McGuinness, P Fox, B. Brodaric|
|Place of Publication||Menlo Park|
|Publication status||Published - 2008|
|Event||AAAI 2008 Spring Symposia - |
Duration: 26 Mar 2008 → 28 Mar 2008
|Conference||AAAI 2008 Spring Symposia|
|Period||26/03/08 → 28/03/08|
Rijgersberg, H., Top, J. L., & Meinders, M. B. J. (2008). Use of quantitative research ontology in e-science. In D. L. McGuinness, P. Fox, & B. Brodaric (Eds.), Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA (pp. 87-92). Menlo Park: AAAI Press.