Open AccessApplication of Big Data Computing Model Based on Semantic Data Analysis Technology
Author(s) -
Ganglong Fan,
Jian Shen
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012071
Subject(s) - big data , computer science , semantic data model , data modeling , semantics (computer science) , data model (gis) , semantic computing , data science , data quality , semantic technology , data mining , idef1x , information retrieval , semantic web , database , artificial intelligence , service (business) , ontology based data integration , economy , economics , programming language
Big data computing model refers to various high-level abstract models extracted and established from the diverse big data computing problems and requirements according to big data‘s different data characteristics and computational characteristics. In order to improve the data quality, a method of adding semantics to the data is proposed to help users identify big data’s pattern. In this way, we can make use of the semantic value of the data, detect big data, and propose a big data computing model through the semantic analysis of the data. The paper presents research on big data computing model based on semantic data analysis technology.