Linguistic Summarization of Processes – a research agenda

Abstract

Linguistic summarization offers novel ways of gain-ing insight into large amounts of data by extract-ing their main properties and representing them lin-guistically. Various linguistic summarization tech-niques have been proposed for data sets consisting of attribute-value pairs. However, many applica-tion domains are characterized by structured and relational data, where explicit relations amongst data elements exist. Process data, in which busi-ness activities are ordered sequentially, is one ex-ample. Linguistic summarization for such data has been considered only sparsely in the literature. In this paper, we consider the challenges for obtaining linguistic summaries from process data and propose a research agenda.