Ontology-based Data Access for Energy Technology Forecasting

DOI

10.2991/iwci-18.2018.26How to use a DOI?

Keywords

energy technology forecasting, semantic model, ontology, ontology-based data access.

Abstract

Ontology-Based Data Access (OBDA) is considered as a promising semantic approach to query various complex datasets for such weak-formalized activity as energy technology forecasting. OBDA uses an ontology to operate with complex energy technology data abstracting away from the technical schema-level details. Special mapping is required to connect the related data to ontology entities. OBDA approach automatically translates queries posed over the ontology into data-level queries which can be executed by the underlying database management system. The paper is focused on the main principles of OBDA applied to Energy Technology Database within technology forecasting information system.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alexey Mikheev
PY  - 2018/08
DA  - 2018/08
TI  - Ontology-based Data Access for Energy Technology Forecasting
BT  - Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018)
PB  - Atlantis Press
SP  - 147
EP  - 151
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-18.2018.26
DO  - 10.2991/iwci-18.2018.26
ID  - Mikheev2018/08
ER  -