On Derived Data Services in the Cyberspace

Shi-Cho Cha, Yuh-Jzer Joung

Abstract: We propose a framework called Derived Data Services (DDS) to provide an architecture for using metadata to describe user's behaviors in Web-based services. The architecture aims to provide an open and standard environment to describe behavior logs. This feature then allows logs in different contexts to be integrated together, and also allows new attributes to be added to the logs should applications need. The metadata also embed some semantics of the logs so that logs generated in one context can be understood in another. Moreover, through the use of derived data generation proposals that specify what data are to be derived from the logs and how to derive the data, DDS is able to provide useful information needed by service providers without revealing every detail of the logs. This then allows Web sites to provide better customized services to their users while protecting their privacy.