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Authors: Joel Cummings and Deborah Stacey

Affiliation: University of Guelph, Canada

Keyword(s): Mid Level Ontology, Data Collection Ontology (DCO), BFO, Data Collection, OBO Foundry, Foundational Ontology, Upper Level Ontology, Domain Ontology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Symbolic Systems

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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Paper citation in several formats:
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 (IC3K 2017) - KEOD; ISBN 978-989-758-272-1; ISSN 2184-3228, SciTePress, pages 175-182. DOI: 10.5220/0006497501750182

@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 (IC3K 2017) - KEOD},
year={2017},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006497501750182},
isbn={978-989-758-272-1},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KEOD
TI - The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level Ontology
SN - 978-989-758-272-1
IS - 2184-3228
AU - Cummings, J.
AU - Stacey, D.
PY - 2017
SP - 175
EP - 182
DO - 10.5220/0006497501750182
PB - SciTePress