is a novel tag cloud layout that arranges the tags belonging to multiple data categories in a pie chart manner. Motivated from research in classical philology, TagPies were designed to support the comparative analysis of classical terminology. In this scenario, the data categories represent the co-occurrences of different searched keywords, so that the comparison of the contexts in which these keywords were used becomes possible using TagPies. This paper illustrates the iterative development of TagPies, which aid as a distant reading view on a text corpus for humanities scholars. We outline various steps of our collaborative digital humanities project, and we emphasize the utility of the proposed design by outlining various usage scenarios representing current research questions in classical philology.

We introduce a concept search environment that caters for the needs of humanities scholars who want to improve the accuracy of search results when querying historical text corpora. For this purpose, we designed a so-called Concept Editor that allows to model historical concepts in a diagram style according to the imaginations of the humanities scholar. For the inspection of results determined in the proposed concept search, we provide a Concept Search Results Viewer that uses the existent layout of the underlying concept model to visualize related texts according to the relevance to the given concept. We further designed the overall system the way that the humanities scholar can iteratively refine the concept idea, which leads to a gradual improvement of search results. To illustrate the whole development pipeline, we provide a usage scenario on modeling the concept epilepsy with the purpose of improving the accuracy of results compared to usual applied keyword-based search methods.