Ontology-based Data Access for Energy Technology Forecasting
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.
Библиографическая ссылка
Mikheev A.V. Ontology-based Data Access for Energy Technology Forecasting // Advances in Intelligent Systems Research. Vol.158. 2018. P.147-151. ISBN (print): 978-94-6252-544-3. DOI: 10.2991/iwci-18.2018.26
