SMPMA: Semantic multimodal profile for multimedia documents adaptation

Khallouki, Hajar; Bahaj, Mohamed; Roose, Philippe; Laborie, Sébastien

doi:10.1109/wcccs.2014.7107908

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…There are several possible ways to identify a situation [16][17][18][19], and a proper identifying generic technique still has to be defined. Computing similarities is also quite difficult when integrating heterogeneous user profiles.…”

Section: Dynamic Situation Searchingmentioning

confidence: 99%

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

et al. 2016

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Currently, the field of smart-* (home, city, health, tourism, etc.) is naturally heterogeneous and multimedia oriented. In such a domain, there is an increasing usage of heterogeneous mobile devices, as well as captors transmitting data (IoT). They are highly connected and can be used for many different services, such as to monitor, to analyze and to display information to users. In this context, data management and adaptation in real time are becoming a challenging task. More precisely, at one time, it is necessary to handle in a dynamic, intelligent and transparent framework various data provided by multiple devices with several modalities. This paper presents a Kali-Smart platform, which is an autonomic semantic-based context-aware platform. It is based on semantic web technologies and a middleware providing autonomy and reasoning facilities. Moreover, Kali-Smart is generic and, as a consequence, offers to users a flexible infrastructure where they can easily control various interaction modalities of their own situations. An experimental study has been made to evaluate the performance and feasibility of the proposed platform.

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Section: Dynamic Situation Searchingmentioning

confidence: 99%

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

et al. 2016

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“…There are several possible ways to identify situation [6] [8], and a proper identifying generic technique still has to be de• ned. Computing similarities is also quite difficult when integrating heterogeneous user profiles.…”

Section: Situation Searchingmentioning

confidence: 99%

“…Several services composing a situation are generally connected semantically. Our similarity measure extends the properties of Sim defined in [6]. It is formalized as follows:…”

Section: Situation Searchingmentioning

confidence: 99%

Smart semantic-based approach for mobile applications in pervasive environments

Alti¹,

Achouri²,

Derdour³

et al. 2016

2016 International Conference on Information Technology for Organizations Development (IT4OD)

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Today, the field of smart-* (Home, City, Health, Tourism, etc.) is oriented multimedia by nature, highly heterogeneous and now lacks of intelligent way to able to manage various modalities according to the current users needs, usage situations and execution context. In consequence, mobile applications are certainly existing but often inadequate according to users' expectations and more precisely the instant expectations. The inclusion in our daily life, connected objects can retrieve information directly related to the immediate physical environment and the user. The use of different services from devices according to evolutionary scenarios affects both the nature and presentation of information and the different interactions that the user can and must have. The main idea is to design new way to make relevant semantic connected objects, multi-devices and many more agility and to use the cloud as a way to insure the service continuity on mobile devices. This paper presents an autonomic smart semantic based context-aware service and controller that will enhance users experience through the use of optimized semantic multimodal detection services. The originality of the dedicated cloud and context-aware of quality service composition paths is that it relies on smart multimodal inputs and multimodal user preferences. We propose real case study in order to validate our proposal.

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“…A multimedia document is composed of several media such as images, texts or videos with synchronization points between spatial and temporal organization. Therefore, any Internet user should have access to the content of multimedia documents and receive them in a format appropriated to the current context in which they work , their personal characteristics (language, disability, etc) , their preferences, the capacity of their terminal (screen size, battery, etc) and the characteristics of the network (type, bandwidth, etc) , but also according the spatio-temporal context (adaptation information according to its geographical location or time he has to devote to reading the document) [3].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Viewpoint Approach For Semantic Multimedia Documents Adaptation

Bettou,

Boulkroun

2023

World Congress on Electrical Engineering and Computer Systems and Science

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Multimedia documents have to be played on multiple device types. Hence, a user not disabled or handicapped requires document adaptation according to execution contexts. Currently, advanced technological hardware can offer mobile devices, which fit in the hand with the capacity to consult documents at anytime and anywhere. Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content.In this article, the authors propose a new Multi-viewpoints ontological-based method for adapting multimedia documents; each viewpoint of de multimedia document could correspond to a physical handicap and therefore triggers an adaptation action using multiviewpoint ontological reasoning. Our proposed ontology has the great advantage to offer to users a flexible infrastructure to easily govern the response time and the quality assembly of their applications at runtime.

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SMPMA: Semantic multimodal profile for multimedia documents adaptation

Cited by 9 publications

References 11 publications

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

Autonomic Semantic-Based Context-Aware Platform for Mobile Applications in Pervasive Environments

Smart semantic-based approach for mobile applications in pervasive environments

A Multi-Viewpoint Approach For Semantic Multimedia Documents Adaptation

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