Smart Qualitative Data (SQUAD): Information Extraction in a Large Document Archive

Abstract

In this paper, we present the results of an investigation into methodologies and technical solutions for exposing the structured metadata contained within digital qualitative data, to make them more shareable and exploitable. In particular, we develop mechanisms for using Information Extraction (IE) technology to provide user-friendly tools for semi-automating the process of preparing qualitative data in the social science domain for digital archiving, in order to archive enriched marked-up data.