Grid-enabled data collection and analysis - semantic annotation in skills-based learning

This paper describes how Semantic Grid technologies can be used to generate enhanced tools for data collection that provide enabling technologies for interdisciplinary work, thereby enhancing the capacity to address substantive social science research. A feasibility study is presented in which semantic annotation (i.e. machine-processable annotation using Semantic Web technologies) is used to capture and work with the digital record, in support of subsequent qualitative and quantitative analysis. This case study provides a proof of concept, helping to develop the agenda for future work in this area.