Complementarity of process-oriented and ontology-based context managers to identify situations

Abstract

International audienceOne issue for context-aware applications is to identify without delay situations requiring reactions. The identification of these situations is computed from both dynamic context information and domain specific knowledge. This identification is the output of a process involving context interpretation, aggregation and deduction. In smart environments, these treatments have to be efficient since they may be partly performed on constrained mobile devices. Two main approaches exist in the literature: process-oriented and ontology-based context management. In this paper, we claim that they are complementary and we propose an architecture which integrates the two approaches. We show in a scenario how context-aware applications can benefit from this architecture both to scale to numerous mobile users and to identify complex situation

Enhancing context data distribution for the internet of things using qoc-awareness and attribute-based access control

“…Another line of research is building a semantic web of things has emerged recently and proposes to exploit ontology-based solutions to build an application-oriented view of the IoT [2]. [5] presents a comparison of process-based context management, as proposed in this paper, and ontology-based context management and shows their complementarity. On the one hand, an ontology-based approach puts the stress on extracting knowledge from context data in conjunction with existing knowledge bases.…”

Context of Text: Concepts for Recognizing Context of Acquired Knowledge from Documents

“…The toolkit itself consists of widgets, aggregators, and interpreters following the above distinctions. Bouzeghoub et al [8] combine process-oriented and ontology based context management systems to identify situations from data. Categorical data such as "User, Activity, Environment (computing/physical), Device, Location and Time" are used in the work to recognise context of situations in real time.…”

“…1, situations are the means for describing knowledge, at the acquisition and application stages. Ye et al (referred in [8]) define situations for a mobile computing environment as "external semantic interpretations of low-level context, permitting a higher-level specification of human behaviour in the scene and the corresponding system services". As part of earlier research by the same research group, an information model for representing assembly situations was developed [11].…”

WaterCOM: An Architecture Model of Context-Oriented Middleware

“…SPACES [15] is a lightweight middleware solution enabling the versatile and efficient mediation of context information. SPACES adopts COSMOS [16] framework as a scalable model for processing context information. COSMOS is a policy-based context processing framework.…”