Behaviour modelling and transformations for context-aware mobile applications

Daniele, Laura

doi:10.3990/1.9789036532044

Cited by 1 publication

(3 citation statements)

References 60 publications

(118 reference statements)

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“….4, that in a conceptual model, the property should be considered as context to the system that is considered as an entity, both terms in their examinological definition. Foundational language concepts to construct context of an entity or a situation, here how properties inhere in systems (adapted from [19]). …”

Section: Contextmentioning

confidence: 99%

“…), however, without assuming primary context types, remaining more generic. We prefer the latter approach, underlined by Daniele [19] who shows how these concepts can apply as founding elements to construct an abstract model capable of uniformly representing, amongst others, the proximity concept.…”

Section: Lessons Learnedmentioning

confidence: 99%

“…Presently some work can be identified that relates to our work, notably about ontologies for interoperability [7], [8], sensor semantics [9][10][11][12][13][14][15][16] and contextual awareness [17][18][19]. We distinguish from this research by taking an approach that integrates observations and their circumstances, with an architectural foundation to secure a loose coupling between SN and SA at the semantic level.…”

Section: Introductionmentioning

confidence: 99%

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Semantic interoperability in sensor applications making sense of sensor data

Brandt

Basten

Stuiik

et al. 2013

2013 IEEE Symposium on Computational Intelligence in Healthcare and E-Health (CICARE)

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Abstract-Much effort has been spent on the optimization of sensor networks, mainly concerning their performance and power efficiency. Furthermore, open communication protocols for the exchange of sensor data have been developed and widely adopted, making sensor data widely available for software applications. However, less attention has been given to the interoperability of sensor networks and sensor network applications at a semantic level. This hinders the reuse of sensor networks in different applications and the evolution of existing sensor networks and their applications. The main contribution of this paper is an ontology-based approach and architecture to address this problem. We developed an ontology that covers concepts regarding examinations as well as measurements, including the circumstances in which the examination and measurement have been performed. The underlying architecture secures a loose coupling at the semantic level to facilitate reuse and evolution. The ontology has the potential of supporting not only correct interpretation of sensor data, but also ensuring its appropriate use in accordance with the purpose of a given sensor network application. The ontology has been specialized and applied in a remote patient monitoring example, demonstrating the aforementioned potential in the e-health domain.

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Section: Contextmentioning

confidence: 99%

Section: Lessons Learnedmentioning

confidence: 99%