Integrating a Survey Ontology into an Upper Level Ontology - Using the Data Collection Ontology (DCO) as the Basis for a Survey Ontology

Joel Cummings, Deborah Stacey

2017

Abstract

Capturing data in a step-by-step manner is generally completed using surveys that maintain some flow between questions to capture data from a large number of respondents in a consistent manner. In other words capturing data using surveys is a form of data collection that imposes a specific process to collect data. In this paper we present the benefit of utilizing the mid-level Data Collection Ontology (DCO) to construct a survey ontology that is domain independent and compare to an existing Survey Ontology (Fox M.S., 2016) implementation.

Paper Citation

in Harvard Style

Cummings J. and Stacey D. (2017). Integrating a Survey Ontology into an Upper Level Ontology - Using the Data Collection Ontology (DCO) as the Basis for a Survey Ontology.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 310-319. DOI: 10.5220/0006582703100319

in Bibtex Style

@conference{keod17,
author={Joel Cummings and Deborah Stacey},
title={Integrating a Survey Ontology into an Upper Level Ontology - Using the Data Collection Ontology (DCO) as the Basis for a Survey Ontology},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={310-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006582703100319},
isbn={978-989-758-272-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Integrating a Survey Ontology into an Upper Level Ontology - Using the Data Collection Ontology (DCO) as the Basis for a Survey Ontology
SN - 978-989-758-272-1
AU - Cummings J.
AU - Stacey D.
PY - 2017
SP - 310
EP - 319
DO - 10.5220/0006582703100319