2012
DOI: 10.3233/jid-2012-0009
|View full text |Cite
|
Sign up to set email alerts
|

Computationally Significant Semantics in Pervasive Healthcare

Abstract: Pervasive computing (PerC) is leading the way in a fast-growing trend of integrating transparently physical heterogeneous computational devices into our private and professional lives. The ubiquity of these devices and advances in developing software solutions in PerC across domains, have raised hopes for the creation of true wide-spread pervasive computing environments (PCE). In this paper we explore the possibility of applying semantics of PCEs in the healthcare domain, and in Self Care Homes (SeCH) in parti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
7
2

Relationship

3
6

Authors

Journals

citations
Cited by 13 publications
(7 citation statements)
references
References 33 publications
0
7
0
Order By: Relevance
“…Considering that the focus in the algorithm is on decision making (and not on encryption) when managing keys, then this software application generated from the algorithms would be easily deployable within either Android/iOS operating environments, server-cloud computing, or even on cloud edges. A software architectural model could be generated from the formal conceptual model of the proposal as in [29,30,8], potentially opening doors for using many different software technologies. One would be to replace the traditional role of the provisioner in WSN with the reasoning mechanism available through Semantic Web Technologies and thus enable, for example, reasoning upon how to create a family of nodes according to the definitions from the proposal and define and maintain the Family Key Paradigm when circumstances change.…”
Section: The Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering that the focus in the algorithm is on decision making (and not on encryption) when managing keys, then this software application generated from the algorithms would be easily deployable within either Android/iOS operating environments, server-cloud computing, or even on cloud edges. A software architectural model could be generated from the formal conceptual model of the proposal as in [29,30,8], potentially opening doors for using many different software technologies. One would be to replace the traditional role of the provisioner in WSN with the reasoning mechanism available through Semantic Web Technologies and thus enable, for example, reasoning upon how to create a family of nodes according to the definitions from the proposal and define and maintain the Family Key Paradigm when circumstances change.…”
Section: The Evaluationmentioning
confidence: 99%
“…This proved to be essential if we wanted address constant changes in dynamic environments, where we started performing computing. Decision making, based on the context, where software applications reside is the essence of contextualisation, which has been performed in the last two decades in many problem domains in computer science, with proven results [7,8,9]. We can mirror the same situation in WSN environments.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the ideas from this paper would fit and could be used within an initiative of addressing the role of Big Data in personalized medicine (45). The question of asserting essential individuals in OWL classes, asserting object properties, as in the applications presented here, and "feeding" any OWL ontology with relevant semantics, has been addressed in different publications [46,47]. This is a subject of a different debate in which we should discuss how to balance the level of inference and controlled assertions in the application.…”
Section: Future Workmentioning
confidence: 99%
“…Usually, the control functionality of I-CPS is extended with data analytics functionality, which is based on multiplexed sensor nodes and pervasive sensor networks, and information modality transformers and message generators. As reported in the literature, typical examples are distributed tourist information systems (Osborn & Hinze, 2014), context-aware navigation systems (Saeedi et al, 2014), healthcare recommendation systems (Shojanoori et al, 2012), patient context monitoring systems (Kataria et al, 2008), and evacuation management systems (Ibrahim et al, 2016). The servicing activities of I-CPSs include various messaging functions such as: (i) selecting informing modality, (ii) constructing personalized messages, and (iii) distributing messages to the stakeholders.…”
Section: Introductionmentioning
confidence: 99%