2017
DOI: 10.1007/978-3-319-57837-8_37
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Supporting Context-Aware Engineering Based on Stream Reasoning

Abstract: Abstract. In a world of increasing dynamism, context-awareness gives promise through the ability to detect changes in the context of devices, environment, and people. Equally, with stream reasoning using languages including C-SPARQL, continuous streams of raw data in RDF can be reasoned over for context-awareness. Writing many context queries and rules this way can however be error prone, and often contains boilerplate. In this paper, we present a context modelling notation designed to support the creation of … Show more

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Cited by 2 publications
(2 citation statements)
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“…Currently, there is undergoing work to create a more specialised UML/SysML profile that is more focused on the contextual aspects, related to F 2 , as introduced in [2]. More work is being dedicated to the creation of another framework that facilitates the design and automatic code generation, aimed for the management of context information for context-aware rule-based reasoning support in both mobile [29] and stationary [30] platforms. The aim is not only to create services that can create C-AS that are more related to the preferences and needs of the users, but to create more reliable services by automating the verification of reasoning rules.…”
Section: Discussionmentioning
confidence: 99%
“…Currently, there is undergoing work to create a more specialised UML/SysML profile that is more focused on the contextual aspects, related to F 2 , as introduced in [2]. More work is being dedicated to the creation of another framework that facilitates the design and automatic code generation, aimed for the management of context information for context-aware rule-based reasoning support in both mobile [29] and stationary [30] platforms. The aim is not only to create services that can create C-AS that are more related to the preferences and needs of the users, but to create more reliable services by automating the verification of reasoning rules.…”
Section: Discussionmentioning
confidence: 99%
“…This was more the intention in the architecture presented at Kramer et al (2014) which was generic and used to develop services in a specific area of Ambient Intelligence. This was then explained at a lower level in Kramer and Augusto (2017).…”
Section: Context-aware Systemsmentioning
confidence: 99%