Abstract
The paper presents an automated system to report the evolution of a process in natural language expressions, analyzing wireless sensor data with process patterns by the linguistic description of complex phenomena approach. An implemented system generates reports of the composting process using the temperature measured in the core of a compost pile regarding the temperature pattern during the composting phases. The linguistic reports include sentences about the current status, trend, and behavior of the composting process. The automated system posts each linguistic report via a messaging app, such as Twitter, allowing instant and continuous communication with authorized users on mobile devices. The resulting expressions show that this real-time linguistic report system is a suitable and practical framework to inform users of the process evolution, in preference and complement to a database or graph tools, supporting the users to make decisions for processes that require proper data-interpretation-based supervision.
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