A Flexible Data Warehousing Approach for One-Stop Querying on Heterogeneous Personal Information

This paper presents a flexible data warehousing approach which allows one-stop querying on entire personal information residing at heterogeneous data sources. Different from previous work that requires expensive and error-prone semantic integration, our approach aims to construct personal dataspaces for users. In our approach, personal data are uniformly represented in a single data model proposed in this paper, and stored in a data warehousing system based on a storage model corresponding to the data model. Then, users are enabled to easily retrieve all their personal information by using keywords or a semi-structured query language.