Yanhao Huang, Xiaoxin Zhou. Knowledge model for electric power big data based on ontology and semantic web[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 19-27.
DOI:
Yanhao Huang, Xiaoxin Zhou. Knowledge model for electric power big data based on ontology and semantic web[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 19-27. DOI: 10.17775/CSEEJPES.2015.00003.
Knowledge model for electric power big data based on ontology and semantic web
摘要
Abstract
It is very important for the development of electric power big data technology to use the electric power knowledge. A new electric power knowledge theory model is proposed here to solve the problem of normalized modeled electric power knowledge for the management and analysis of electric power big data. Current modeling techniques of electric power knowledge are viewed as inadequate because of the complexity and variety of the relationships among electric power system data. Ontology theory and semantic web technologies used in electric power systems and in many other industry domains provide a new kind of knowledge modeling method. Based on this
this paper proposes the structure
elements
basic calculations and multidimensional reasoning method of the new knowledge model. A modeling example of the regulations defined in electric power system operation standard is demonstrated. Different forms of the model and related technologies are also introduced
including electric power system standard modeling
multi-type data management
unstructured data searching
knowledge display and data analysis based on semantic expansion and reduction. Research shows that the new model developed here is powerful and can adapt to various knowledge expression requirements of electric power big data. With the development of electric power big data technology
it is expected that the knowledge model will be improved and will be used in more applications.