2 research outputs found
Towards a Model to Address the Interplay Between IoT Applications and Users in Complex Heterogeneous Contexts
Internet of Things (IoT) is now pervasive in most business and Public
Administration processes. Along with the dizzying development of technological
solutions, in recent years new methodological approaches are emerging with the
objective of abstracting IoT functionalities, in order to manage them as resources
in project management methodologies. A critical aspect is the representation of
the knowledge grasped from the data acquired by IoT devices, since different
types of users interact with such data with different goals. In order to transform
them in knowledge, data have to be organized in a proper way and meaningfully
provided in an IoT application specific for that type of user. In this paper, we
propose the Knowledge Stratification Model that technical experts can take into
account when developing an IoT application. The model, which organizes the
knowledge elements in three layers, aims to identify the data produced by IoT
devices and integrate them into business processes, thus making them meaningful
for the user. A semantic approach, based on three subsets of ontologies specific
for each model layer, is proposed to represent domain knowledge and to solve
the technological and user interaction semantic issues characterizing complex
and heterogeneous contexts as Smart City
Towards a Model to Address the Interplay Between IoT Applications and Users in Complex Heterogeneous Contexts
Part 5: Usability Evaluation and UI TestingInternational audienceInternet of Things (IoT) is now pervasive in most business and Public Administration processes. Along with the dizzying development of technological solutions, in recent years new methodological approaches are emerging with the objective of abstracting IoT functionalities, in order to manage them as resources in project management methodologies. A critical aspect is the representation of the knowledge grasped from the data acquired by IoT devices, since different types of users interact with such data with different goals. In order to transform them in knowledge, data have to be organized in a proper way and meaningfully provided in an IoT application specific for that type of user. In this paper, we propose the Knowledge Stratification Model that technical experts can take into account when developing an IoT application. The model, which organizes the knowledge elements in three layers, aims to identify the data produced by IoT devices and integrate them into business processes, thus making them meaningful for the user. A semantic approach, based on three subsets of ontologies specific for each model layer, is proposed to represent domain knowledge and to solve the technological and user interaction semantic issues characterizing complex and heterogeneous contexts as Smart City