Use of quantitative research ontology in e-science

H. Rijgersberg; J.L. Top; M.B.J. Meinders

Abstract

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.

Original language	English
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
Publisher	AAAI Press
Pages	87-92
Publication status	Published - 2008
Event	AAAI 2008 Spring Symposia - Duration: 26 Mar 2008 → 28 Mar 2008

Conference/symposium

Conference/symposium	AAAI 2008 Spring Symposia
Period	26/03/08 → 28/03/08

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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). AAAI Press. https://aaai.org/papers/0018-use-of-a-quantitative-research-ontology-in-e-science/

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title = "Use of quantitative research ontology in e-science",

abstract = "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.",

author = "H. Rijgersberg and J.L. Top and M.B.J. Meinders",

year = "2008",

language = "English",

pages = "87--92",

editor = "D.L. McGuinness and P. Fox and B. Brodaric",

booktitle = "Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA",

publisher = "AAAI Press",

address = "United States",

note = "AAAI 2008 Spring Symposia ; Conference date: 26-03-2008 Through 28-03-2008",

}

Rijgersberg, H, Top, JL & Meinders, MBJ 2008, Use of quantitative research ontology in e-science. in DL McGuinness, P Fox & B Brodaric (eds), Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA. AAAI Press, Menlo Park, pp. 87-92, AAAI 2008 Spring Symposia, 26/03/08. <https://aaai.org/papers/0018-use-of-a-quantitative-research-ontology-in-e-science/>

Use of quantitative research ontology in e-science. / Rijgersberg, H.; Top, J.L.; Meinders, M.B.J.
Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA. ed. / D.L. McGuinness; P. Fox; B. Brodaric. Menlo Park: AAAI Press, 2008. p. 87-92.

Research output: Chapter in Book/Report/Conference proceeding › Abstract

TY - CHAP

T1 - Use of quantitative research ontology in e-science

AU - Rijgersberg, H.

AU - Top, J.L.

AU - Meinders, M.B.J.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

M3 - Abstract

SP - 87

EP - 92

BT - Semantic scientific knowledge integration : papers from the 2008 AAAI Spring Symposium, 26 - 28 March, Stanford University, California, USA

A2 - McGuinness, D.L.

A2 - Fox, P.

A2 - Brodaric, B.

PB - AAAI Press

CY - Menlo Park

T2 - AAAI 2008 Spring Symposia

Y2 - 26 March 2008 through 28 March 2008

ER -

Use of quantitative research ontology in e-science

Abstract

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