Linguistic Summarization of Processes – a research agenda

DOI

10.2991/ifsa-eusflat-15.2015.233How to use a DOI?

Keywords

Linguistic summaries, process mining, event logs, linguistic process models.

Abstract

Linguistic summarization offers novel ways of gaining insight into large amounts of data by extracting their main properties and representing them linguistically. Various linguistic summarization techniques have been proposed for data sets consisting of attribute-value pairs. However, many application domains are characterized by structured and relational data, where explicit relations amongst data elements exist. Process data, in which business activities are ordered sequentially, is one example. 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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Anna Wilbik
AU  - Uzay Kaymak
PY  - 2015/06
DA  - 2015/06
TI  - Linguistic Summarization of Processes – a research agenda
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1636
EP  - 1643
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.233
DO  - 10.2991/ifsa-eusflat-15.2015.233
ID  - Wilbik2015/06
ER  -