Generating automated news to explain the meaning of sensor data

Authors:
Martin Molina;Amanda Stent;Enrique Parodi
Affiliations:
Department of Artificial Intelligence, Technical University of Madrid, Spain;AT&T Labs - Research, Florham Park, NJ;Department of Artificial Intelligence, Technical University of Madrid, Spain
Venue:
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Year:
2011

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Abstract

An important competence of human data analysts is to interpret and explain the meaning of the results of data analysis to end-users. However, existing automatic solutions for intelligent data analysis provide limited help to interpret and communicate information to non-expert users. In this paper we present a general approach to generating explanatory descriptions about the meaning of quantitative sensor data. We propose a type of web application: a virtual newspaper with automatically generated news stories that describe the meaning of sensor data. This solution integrates a variety of techniques from intelligent data analysis into a web-based multimedia presentation system. We validated our approach in a real world problem and demonstrate its generality using data sets from several domains. Our experience shows that this solution can facilitate the use of sensor data by general users and, therefore, can increase the utility of sensor network infrastructures.