A Multi-Viewpoint Approach For Semantic Multimedia Documents Adaptation

Bettou, Farida; Boulkroun, Bouchra

doi:10.11159/cist23.107

Cited by 2 publications

(3 citation statements)

References 17 publications

(28 reference statements)

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“…As the context in pervasive systems is continuously changing over time, some constraints and difficulties may be encountered due to multimedia documents features that conflict with the current context. In this respect, several adaptation approaches have already been proposed, in order to provide documents adapted to contextual situations [2]- [21]. These proposals differ from each other mainly in the way the adaptation process is carried out as well as in the documents types treated.…”

Section: The Comprehensive Theoretical Basis 21 Multimedia Documents ...mentioning

confidence: 99%

“…By analyzing several MDA approaches [2]- [21] (see Table 2), we could check that they focus mainly on context collection, representation, and interpretation. In particular, the reasoning mechanisms only rely on profiles and current context values in such a way that the adaptation task is performed in a single location (i.e.…”

Section: Belhadad Et Al (2018) [17]mentioning

confidence: 99%

“…In the literature, several approaches have been proposed in order to adapt the content of multimedia documents in context-aware pervasive environment [2]- [21]. These approaches are classified into four categories: server-side adaptation, client-side adaptation, proxy-based adaptation and peer-to-peer adaptation.…”

Section: Introductionmentioning

confidence: 99%

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On the use of historical data in context-aware multimedia documents adaptation processes

Smaala,

Laboudi,

Saighi

et al. 2024

Bulletin EEI

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Playing multimedia documents in ubiquitous systems may require content adaptation based on gathered context information and accumulated historical data. Several approaches have already been proposed, in which adaptation actions are performed to provide adapted documents. Nevertheless, these approaches focus mainly on efficient use of context information without involving historical users data to improve the adaptation process. Thus, this paper allows for consideration of historical users data during the execution of the adaptation process. To do so, the context elements and the adaptation actions are first modeled using the oriented-object approach and then converted into relational and NoSQL databases schemes. Finally, algorithms for storing, retrieving and analysing data are designed. The proposal is validated by implementing scenarios through a real prototype. At a first step, the performances are measured to estimate the cost of data processing. The experiments show that NoSQL databases excel in data storage and ease of implementation, while relational databases perform well in data retrieve. At a second step, the proposal usefulness is highlighted by showing how historical data contribute to adaptation rules personalization using datadriven rule learning mechanisms rather than defining them explicitly. The analysis algorithm could retain personalized adaptation rules with confidence degree greater than 90%. Overall, the results are satisfactory.

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Section: The Comprehensive Theoretical Basis 21 Multimedia Documents ...mentioning

confidence: 99%

Section: Belhadad Et Al (2018) [17]mentioning

confidence: 99%