Title :
Build Petroleum Exploration and Production Domain Ontology from Reference Models
Author :
Bilong, Wen ; Fucai, Ben ; Jing, Ye
Author_Institution :
Sch. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing, China
Abstract :
The petroleum exploration and production domain includes more than twenty specialties such as exploration, production, etc. Difference information vocabulary among specialties results in problems about information sharing and application software integration among specialties. Ontology was introduced to solve above problem. According the feature of petroleum business, the method to building Petro-Onto(petroleum exploration and production domain ontology) was proposed, the top-level ontology was designed, and an approach was proposed to capture concepts and the relationships among concepts automatically from business models and data models. Petro-Onto has been applied in oil field information integration.
Keywords :
ontologies (artificial intelligence); petroleum industry; Petro-Onto; oil field information integration; petroleum business; petroleum exploration; production domain ontology; reference models; Application software; Computer science; Computer science education; Data models; Educational products; Educational technology; Ontologies; Petroleum industry; Production; Vocabulary; data element; domain ontology; exploration and production; petroleum;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.519