The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level Ontology
Joel Cummings, Deborah Stacey
2017
Abstract
Capturing data through an ontology is a common goal where instances exist as datums mapping to universal terms defined in an ontology. Currently these ontologies lack a shared conceptualization for data collection terms. We propose a mid level Data Collection Ontology (DCO) that defines data collection terms in a domain agnostic way enabling extension for domain ontologies to build off of. Such an ontology should provide reasoning support and enable automated error detection required by all data collection ontologies. By using the Basic Formal Ontology (BFO) as its base it enables existing OBO foundry ontologies to extend the proposed ontology in their design allowing existing domain level ontologies an entry point.
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in Harvard Style
Cummings J. and Stacey D. (2017). The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level 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 175-182. DOI: 10.5220/0006497501750182
in Bibtex Style
@conference{keod17,
author={Joel Cummings and Deborah Stacey},
title={The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level Ontology},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006497501750182},
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 - The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level Ontology
SN - 978-989-758-272-1
AU - Cummings J.
AU - Stacey D.
PY - 2017
SP - 175
EP - 182
DO - 10.5220/0006497501750182