Title :
Research on ontology-based knowledge representation and retrieval of coal mining equipment selection and matching expert system
Author :
Liu, Zhihai ; Zeng, Qingliang ; Wang, Chenglong ; Zhao, Yonghua
Author_Institution :
Coll. of Mech. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
In this paper, expert system and ontology technology are studied. Framework model of ontology-based selection and matching expert system is built up by using the ontology language OWL. Ontology query and retrieval technology are introduced and achieved by using QueriesTab tool which is a plug-in of protégé. OWL ontology is stored in database by using MySQL language. At last, we did experiment in Protégé to test selection and matching result. The result shows that the Ontology-based expert system model can achieve the function of coal mining equipment selection and matching correctly.
Keywords :
SQL; equipment selection; expert systems; knowledge representation languages; mining equipment; ontologies (artificial intelligence); query processing; MySQL language; OWL ontology; QueriesTab tool; coal mining equipment selection; knowledge retrieval; matching expert system; ontology language; ontology query; ontology technology; ontology-based expert system model; ontology-based knowledge representation; ontology-based selection; protégé; retrieval technology; Expert systems; Mining equipment; OWL; Ontologies; Resource description framework;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
DOI :
10.1109/ICICIP.2010.5565276
