Title :
The construction of power system knowledge database based on ontology theory and semantic web technology
Author :
Huang Yan-Hao ; Li Wen-Chen ; Li Bai-Qing ; Li Ya-Lou ; Zhou Xiao-Xin ; An Ning
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
The development of Chinese Power System put forward the new requirements to the use of knowledge resources, but the knowledge database systems in Power Grid are unable to effectively manage and obtain the existing multi-type and distributed knowledge resources. For solving the problem, the model and architecture of new type knowledge database are studied and used to actual work. From the aspect of recording the relations between knowledge resources, based on ontology theory and semantic web technology, the knowledge management model with the core of objects is researched, including objects division, sub-ontology structure, basic relationships, and the formation of management directory. From the aspect of managing the distributed knowledge resources, the system architecture corresponding to the knowledge management model is studied, and the new functions in knowledge browsing, searching, and extracting are proposed too. Based on the above technologies the practical Power System new type knowledge database is built and tested in the network. The result shows that the new type knowledge database can preliminary meet the needs of Power System knowledge resources management and application, and has good scalability and development prospects.
Keywords :
deductive databases; knowledge acquisition; knowledge management; ontologies (artificial intelligence); power engineering computing; power grids; semantic Web; Chinese power system; knowledge browsing; knowledge extraction; knowledge management model; knowledge searching; ontology theory; power grid; power system knowledge database systems; power system knowledge resources management; semantic Web technology; Databases; Knowledge management; Ontologies; Power system stability; Semantic Web; Knowledge database; Ontology; Power System knowledge model; Semantic web technology;
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/POWERCON.2014.6993596