Context-aware Technologies and Systems

Esseynew, Seblewongel; Amanuel, Berhanyikun; Mekuria, Sinke; Damtew, Abel; Koceski, Saso

doi:10.20544/aiit2016.16

Cited by 1 publication

(12 citation statements)

References 39 publications

(73 reference statements)

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“…Different formats for Key-Value pairs are possible, such as text files or binary files [Surve and Ghorpade, 2017]. With its simple nature, a Key-Value model is very easy to implement and to manage [Esseynew et al, 2016]. Furthermore, it is useful for building prototypes and running on devices with low computing power and storage [Hodaie et al, 2013].…”

Section: Key-valuementioning

confidence: 99%

“…The Key-Value modeling approach is incapable of modeling sophisticated, complex information [Wei and Jin, 2012] and to retrieve efficient context [Esseynew et al, 2016]. This approach also lacks capabilities for structuring context information and mechanisms to check its validity [Bellavista et al, 2012].…”

Section: Key-valuementioning

confidence: 99%

“…This allows for certain kinds of validation, such as type and range checks for numeric values and leads to better context retrieval capabilities. The advantages of Markup Scheme Models are that they can handle heterogeneity and incompleteness [Esseynew et al, 2016], context information can be validated by means of validation tools such as XML-schemas and data can be structured via nested XML structures [Bellavista et al, 2012] allowing the expression of complex relations. Furthermore, Markup Scheme Models allow for an efficient data retrieval [Surve and Ghorpade, 2017].…”

Section: Markup Scheme Modelsmentioning

confidence: 99%

“…There is a lack of design specifications, which means that context modeling, data retrieval, interoperability and reusability over different markup schemes can be difficult [Surve and Ghorpade, 2017]. Furthermore, Markup Scheme Models lack expressive structure, have weak formalism and are inadequate for capturing context information and relationships [Esseynew et al, 2016].…”

Section: Markup Scheme Modelsmentioning

confidence: 99%

“…Graphical models are used to model context with relationships [Surve and Ghorpade, 2017]. Contextual information is represented using graph data structures and richer data types [Esseynew et al, 2016]. A very well-known graphical modeling instrument is the Unified Modeling Language (UML).…”

Section: Graphical Modelsmentioning

confidence: 99%

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Towards an Approach for Intelligent Adaptation Decision-Making of Pervasive Middleware

Jabla¹

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This thesis describes research to gain insight into pervasive middleware solutions and context-aware solutions that expand their perspective from static to dynamic pervasive environments. The motivation behind this research arose from a need to reconsider and replace today's context-aware solutions with more intelligent solutions to account for dynamic environments and users' preferences changes at runtime. In this context, the end goal is to focus on offering intelligent context-aware solutions that could deal with the automatic context model evolution and new decisions generation according to context changes at runtime. To do so, in the current thesis, we illustrate a hybrid approach termed IConAS -a means of combining the practical advantages of context evolution with the decision-making adaptation. This combination leads to intelligent context-aware solutions that could reflect changes occurring in their surrounding dynamic environments at runtime. The thesis concentrates on the three important contributions as follows:• Definition of the IConAS approach that combines two main approaches. This hybrid approach aims to offer intelligent context-aware solutions through augmenting an existing middleware. The purpose of this augmentation is to support runtime and automatic context evolution and decision-making adaptation in order to reflect changes in dynamic environments;Next, I would like to extend my heartiest gratitude and thanks to my co-supervisor Prof. Maha Khemaja, who believed in me from the beginning of this thesis and who never ceased to encourage, guide and kindly nudge me forward when I doubt my ability or could not see the finish line. This thesis would not have been achievable without her constant feedback, her enormous research contributions and her emotional support. I am sincerely thankful to my external evaluators of the thesis, Prof.

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Section: Key-valuementioning

confidence: 99%