DocumentCode :
572929
Title :
Design and implementation of domain ontology-based oilfield non-metallic pipe information retrieval system
Author :
Guo Rong ; Wu Jun
Author_Institution :
Sch. of Optoelectron. Eng., Xi´an Technol. Univ., Xi´an, China
fYear :
2012
fDate :
24-26 Aug. 2012
Firstpage :
813
Lastpage :
816
Abstract :
In order to solve the problems of poor retrieval performance and low retrieval quality in traditional retrieval method, a non-metallic pipe retrieval system based on ontology was designed. Firstly, the theory of ontology and information retrieval technology were introduced, and then an ontology model that can describe different information of oilfield non-metallic pipe was built. The ontology files in the type of html were described by OWL language. After that, they were saved in My SQL database based on Jena. Secondly introduced the retrieval algorithm and retrieval process of the system, realized the semantic analysis of query condition, expanded query and other functions. At last, the domain ontology-based oilfield non-metallic pipe information retrieval system was designed. Compared with the traditional retrieval method, the domain ontology-based non-metallic pipe information retrieval system can significantly improve the recall and precision rate. It has great advantage and potential in the field of intelligent information retrieval.
Keywords :
SQL; hypermedia markup languages; information retrieval; knowledge representation languages; ontologies (artificial intelligence); petroleum industry; Jena; MySQL database; OWL language; domain ontology; expanded query; html; information retrieval technology; nonmetallic pipe retrieval system; oilfield nonmetallic pipe information retrieval system; ontology files; ontology model; query condition; retrieval performance; retrieval quality; semantic analysis; Algorithm design and analysis; Educational institutions; Knowledge based systems; Ontologies; Optical fiber testing; Semantics; domain ontology; information retrieve; nonmetallic pipe; oilfield;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
Type :
conf
DOI :
10.1109/CSIP.2012.6308977
Filename :
6308977
Link To Document :
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