An Object-Centric Multi-source Heterogeneous Data Fusion Scheme

The rapid development of Internet services has increased the personal data we generate on the Internet. However, these personal data are collected and owned by the service provider, resulting in individuals not having the sovereignty of the data. In addition, personal data is stored separately in different data sources on the Internet, resulting in a very scattered personal data. Users cannot make full use of the personal data they generate with the object as the center. For individuals, there is a lack of an object-centric personal information collection and management method to solve the current problems of loss of personal data sovereignty and personal data dispersion. This paper proposes an object-centric multi-source heterogeneous data fusion scheme to obtain personal data from different data sources on the Internet, and build a personal data space through a trusted data space model. Under this scheme, individuals can obtain personal data from databases, third-party program interfaces, and web pages centered on objects, and establish a unified and effective data organization and management method for originally discrete personal data through the data space.