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Authors: Dmitry Kudryavtsev ; Tatiana Gavrilova and Alena Begler

Affiliation: Graduate School of Management St. Petersburg University, Saint-Petersburg, Russia

Keyword(s): Ontology Reuse, Empirical Data Integration, Empirical Research Datasets, Knowledge Engineering.

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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Paper citation in several formats:
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 - KEOD, ISBN 978-989-758-474-9; ISSN 2184-3228, pages 267-274. DOI: 10.5220/0010146502670274

@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 - KEOD,},
year={2020},
pages={267-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010146502670274},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,
TI - Creating Core Ontology for Social Sciences Empirical Data Integration
SN - 978-989-758-474-9
IS - 2184-3228
AU - Kudryavtsev, D.
AU - Gavrilova, T.
AU - Begler, A.
PY - 2020
SP - 267
EP - 274
DO - 10.5220/0010146502670274

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