The Impact of the Measurement Process in Intelligent System of Data Gathering Strategies

Abstract

An intelligent system is a technology that has opened diverse ranges of possibilities due to its availability, value, and accessibility. Such an intelligence resides in the possibility to measure and know the current state of entities or environments. Thus, the measurement process constitutes a key asset for many aspects related to the intelligence of systems (e.g., decision-making) and the relationship with the data gathering strategies. A strategy for formalizing monitoring projects based on entity states and scenarios is introduced. It integrates the visualization pipeline to align the visual communication to measurement requirements. From the methodological point of view, an extension of a measurement and evaluation framework which supports the modeling of entity states and scenarios is considered. The framework allows agreeing on concepts required to formalize a measurement project. Thus, a specialization of the Goal-oriented Context-aware Measurement and Evaluation strategy is introduced using the business process model to describe how scenarios and entity states are articulated jointly with their transition models. Also, the visualization pipeline is integrated into the new strategy to articulate the information need that gives origin to the measurement project jointly with the visual communication strategy. A synthesized case as a proof-of-concept is introduced. In this way, a monitoring strategy aware of scenarios, entity states, and the visualization pipeline into a measurement project is reached. Thus, traceability about each visual perspective is aligned with measurement points of view.