Creating Core Ontology for Social Sciences Empirical Data Integration
Dmitry Kudryavtsev, Tatiana Gavrilova, Alena Begler
2020
Abstract
There exist several dozens of metadata standards for empirical research data, making it difficult for users to choose and apply such standards. Consequently, the integration of datasets from similar empirical studies for further knowledge acquisition is highly constrained. To resolve this problem, an ontology for social science research data integration (Empirion-core) has been developed. The ontology reuses existing data integration schemas: DDI-RDF Discovery Vocabulary, Generic Statistical Information Model, Core Ontology for Scientific Research Activities, Data Catalog Vocabulary, and DCMI Metadata Terms. It consists of five subontologies that provide concepts for empirical datasets description: Information resource ontology, Research activity ontology, Research coverage ontology, Measurement ontology, and Sampling ontology.
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in Harvard Style
Kudryavtsev D., Gavrilova T. and Begler A. (2020). Creating Core Ontology for Social Sciences Empirical Data Integration. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD; ISBN 978-989-758-474-9, SciTePress, pages 267-274. DOI: 10.5220/0010146502670274
in Bibtex Style
@conference{keod20,
author={Dmitry Kudryavtsev and Tatiana Gavrilova and Alena Begler},
title={Creating Core Ontology for Social Sciences Empirical Data Integration},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD},
year={2020},
pages={267-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010146502670274},
isbn={978-989-758-474-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD
TI - Creating Core Ontology for Social Sciences Empirical Data Integration
SN - 978-989-758-474-9
AU - Kudryavtsev D.
AU - Gavrilova T.
AU - Begler A.
PY - 2020
SP - 267
EP - 274
DO - 10.5220/0010146502670274
PB - SciTePress