QoCIM: A Meta-model for Quality of Context

Abstract

In the last decade, several works proposed their own list of quality of context (QoC) criteria. This article relates a comparative study of these successive propositions. The result is that no consensus has been reached about the semantic and the comprehensiveness of QoC criteria. Facing this situation, the QoCIM meta-model offers a generic, computable and expressive solution to handle and to exploit any QoC criterion within distributed context managers and context-aware applications. For validation purposes, QoCIM is successfully applied to the modelling of a set of simple and composite QoC criteria.

Real-time data exploitation supported by model- and event-driven architecture to enhance situation awareness, application to crisis management

“…The link between one model and another is ensured by model transformation rules, used, for example, in Bénaben et al (2017) to deduce a collaborative process and therefore reach the comprehension level. • Marie et al (2013) propose a meta-model dedicated to represent the quality (value) of contextual information; • Brannon et al (2009) propose to enhance the situation awareness of decision-makers through the use of a system that combines the three available learning techniques.…”

From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management

“…Marie [ 12 ] proposed a comparative and critical analysis of the existing QoC criteria used to qualify context information in the research works of the past decade. Table 2 is an extract of this comparison and is reminded here to justify some of the points presented further in this paper.…”

“…Instead of defining yet another list of QoC criteria, our approach consists of providing a meta-model able to represent any criterion which application developers can then rely on to define their own QoC criteria. The result of this approach is the Quality of Context Information Model (QoCIM) introduced in [ 12 ]. Section 3.2 highlights the key modeling elements of QoCIM.…”

“…QoCIM is not dependent on any QoC criterion. It derives from interesting concepts extracted from several models studied in [ 12 ] in the form of a meta-model able to support the design and the representation of heterogeneous QoC criteria. The purpose of the QoCIM meta-model is to offer a solution to define QoC criteria that could be: primitive: a criterion that does not depend on any other criteria for its definition, for example, the usability in Table 2 ; composite: a criterion built upon other criteria, as for the timeliness criterion in Table 2 ; invariant: a criterion that has a well defined list of possible values, for example, the accuracy criterion illustrated in the pollution scenario.…”

Extending Ambient Intelligence to the Internet of Things: New Challenges for QoC Management

“…As we proposed in [5], the QoC Information Model (QoCIM) offers a unified solution to model heterogeneous QoC criteria. Figure 2 contains, as a reminder, an overview of QoCIM.…”