Study on distributed generation algorithm of variable precision concept lattice based on ontology heterogeneous database

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Wang, Qingrong^1 ; Zhu, Changfeng^2

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou

730070, China^1

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou

730070, China^2

关键词: Big data applications;    Construction process;    Distributed heterogeneous datum;    Heterogeneous data sources;    Heterogeneous database;    One-to-one mappings;    Ontology construction;    Relationship between concepts;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012117/pdf
DOI  :  10.1088/1755-1315/69/1/012117

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Integration of distributed heterogeneous data sources is the key issues under the big data applications. In this paper the strategy of variable precision is introduced to the concept lattice, and the one-to-one mapping mode of variable precision concept lattice and ontology concept lattice is constructed to produce the local ontology by constructing the variable precision concept lattice for each subsystem, and the distributed generation algorithm of variable precision concept lattice based on ontology heterogeneous database is proposed to draw support from the special relationship between concept lattice and ontology construction. Finally, based on the standard of main concept lattice of the existing heterogeneous database generated, a case study has been carried out in order to testify the feasibility and validity of this algorithm, and the differences between the main concept lattice and the standard concept lattice are compared. Analysis results show that this algorithm above-mentioned can automatically process the construction process of distributed concept lattice under the heterogeneous data sources.