From Data Quality to Big Data Quality: A Data Integration Scenario

Big data has made its appearance in many fields, including scientific research, business, public administration and so on. Although, it is acknowledged that there exist different aspects (e.g., acquisition of data, extraction, pre-processing, analysis modelling and functionality, interpretation, etc.) that might affect the benefit of such data, several authors identify data quality as the most decisive one. More recently, a variety of data types have arisen from linguistic and visual information, used and diffused through social networks, Internet of things, enterprise and public sector information systems as well as the Web. The big data phenomenon has deeply impacted on the diversity of types of data. In our previous work, we provided a deep investigation on how data quality concepts can be extended to such vast set of data types, encompassing, e.g., semi-structured texts, maps, images and linked data. In this work, we focus on Linked Data, a type of data that can be viewed as big data and study the effect of data quality in a data integration scenario.