Authors:
Lina Jia
1
;
Changjun Hu
1
;
Yang Li
1
;
Xin Liu
1
;
Xin Cheng
1
;
Jianjun Zhang
2
and
Junfeng Shi
2
Affiliations:
1
University of Science & Technology Beijing and Beijing Key Laboratory of Knowledge Engineering for Materials Science, China
;
2
Research Institute of Exploration＆ Development, China
Keyword(s):
Semantic-based Data Integration, Ontology, Data Service, Data of Oil and Gas Engineering.
Related
Ontology
Subjects/Areas/Topics:
Databases and Datawarehouses
;
Internet Technology
;
Ontology and the Semantic Web
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
For complex data sources of oil and gas engineering, this paper summarizes characteristics and semantic
relationships of oil data, and presents a semantic-based data service for oil and gas engineering (SDSOge).
The domain semantic data model is constructed using ontology technology, and semantic-based data
integration is achieved by ontology extraction, ontology mapping, query translation, and data cleaning. With
the semantic-based data query and sharing service, users can directly access distributed and heterogeneous
data sources through the global semantic data model. SDSOge has been used by upper applications, and the
results show that SDSOge is efficient in providing a comprehensive and real-time data service, saving
energy, and improving production.