SNSQ ontology: A domain ontology for SNSs data quality

the advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, Wechat, Weibo, LinkedIn, and Facebook have become increasingly popular. The consequences of the poor quality of data in a social network are often experienced in everyday life. This paper gives a domain ontology model, SNSQ Ontology, for data quality in the area of social networks. It could be a knowledge base for the quality assessment of the rich and linkage data in the social network. High-quality data would be relevant in the data searching, analyzing and mining. Based on the SNSQ Ontology the strategy for data quality assessment and repair is given. And the co-influence among the four quality dimensions, completeness, consistency, currency, and accuracy, are discussed to guarantee an effective assessment process.