Towards efficient concept map authoring for capturing document semantics

Abstract

When accessing or manipulating large document corpora, semantics is crucial for enabling machines understand document content and deliver advanced functionality such as recommendation or intelligent search. Manual creation of semantics is a tedious task not sufficiently supported in state-of-the-art tools. In our work we focus on supporting efficient concept map authoring by proposing a set of user interface enhancements aimed to speed up the author's work. We describe the enhancements and thoroughly evaluate our approach in a live user experiment. Experimental results confirm acceleration of concept map authoring and, in addition, reveal the increased quality of produced concept maps when created by our tool.