University of Tasmania, Australia

Semantic web is a web of data that facilitates the machines to understand the semantics or meaning of information on the World Wide Web. As the data of semantic web is increasing, so the provenance information of the data needs to be stored for developing semantic web applications. The provenance of information (e.g. origin and history of data) is important to know who creates the data (e.g. trustworthiness), how the data is derived (reproducibility) and integrated from diverse sources, from where data is derived, why the data is acquired (e.g. accountability), what types of data are derived (e.g. quality of data). Two types of provenance are needed to be preserved such as workflow provenance and data provenance. Workflow provenance means to record the metadata about the different types of processes and services which take part during execution. The meaning of data provenance is to store the origin and derivation history of the data which are transformed at the time of executing a process. There are many application domains where provenance information needs to be preserved such as scientific computing, data-warehousing, data integration, curated databases, grid-computing and workflow managements

Schema mapping describes relationship between a source and a target schema and it is used in data transformation and data integration. In this research, the provenance of mapping data in semantic web will be stored which will help in developing new semantic web applications and in scientific data reproducibility, result interpretation and finding problems.

Members (External)

• Sarawat Anam
• Assoc. Prof. Byeong Kang