Ubiquitous Web Access: Collaborative Optimization and Dynamic Content Negotiation

Sanchez-Loro, Xavier; Beltrán, Victoria; Casademont, Jordi; Catalán, Miguel

doi:10.1109/mue.2008.74

Cited by 13 publications

(4 citation statements)

References 10 publications

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“…All of the layers are involved when sending request from a context-aware client to a context-aware application. Therefore the upper layers have to rely on the lower layers to process the context-aware resources over the ubiquitous Web [26]. Web Feed layer is used to distribute users regarding changes of contents at some context-aware systems.…”

Section: A Multi-layer Context Frameworkmentioning

confidence: 99%

An Architecture of Mobile Web 2.0 Context-aware Applications in Ubiquitous Web

Hsu

2011

JSW

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The rapid development of the wireless communication technologies, including wireless sensors, intelligent mobile devices, and communication protocols, has led to diverse mobile devices of accessing various context-aware systems. Existing context-aware systems only focus on characterize the situation of an entity to exhibit the advantage of contextual information association. The contextual information can represent semantic implications to provide decidable reasoning services, but it has no mechanism to facilitating the interoperability and reusability among heterogeneous context-aware systems and various mobile devices. This study addresses these issues developing a Multi-layer Context Framework (MCF) that integrates Web 2.0 technologies into context-aware system for supporting ubiquitous mobile environment. The proposed MCF includes context sensor layer, context information layer, context service layer, context representation layer, mobile device layer, and context-aware mobile Web 2.0 application layer. To demonstrate the feasibility of the infrastructure, a Mobile Web 2.0-based Context-aware Attendance Monitoring System (MWCAMS) is implemented with ZigBee devices to provide continuous and context-aware monitoring of employee attendance status.

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Section: A Multi-layer Context Frameworkmentioning

confidence: 99%

An Architecture of Mobile Web 2.0 Context-aware Applications in Ubiquitous Web

Hsu

2011

JSW

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“…There are several standards and mechanisms that have been proposed for this matter in content negotiation such as hypertext transfer protocol (HTTP) header mechanisms, resource description framework (RDF) profiles that consists of composite capabilities/preferences profile (CC/PP) [2], user agent profile (UAProf) [3], and WURFL (Wireless Universal Resource FiLe) [4]. However, these standards and mechanisms offer limited possibilities in device identification [5][6][7]. Adapting the static profiling approach to identify a device, whereby depending solely on human intervention to constantly contribute updates on the device is simply impossible as more upgrades and new devices are introduced in the market day by day.…”

Section: Introductionmentioning

confidence: 99%

Device Characteristics and Capabilities Discovery for Multimedia Content

Ibrahim

Yahya

Taib

2012

Journal of Computer Networks and Communications

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The rapid growth of web and mobile technologies has allowed people to access multimedia content from a wide range of heterogeneous client devices that have different characteristics and capabilities. In order to deliver the best presentation of content requested, the web system must possess a mechanism that is able to accurately discover the characteristics and capabilities of a client’s device. Existing content negotiation techniques mainly focus on static profiling approach without considering the combination of static and dynamic approaches that are capable of overcoming the device scalability issues. In view of these issues, we propose a hybrid approach for recognizing devices and their capabilities using token-based method. By proposing such solution, we can provide flexible, extensible, and scalable method that provides more accurate information in resolving the content negotiation issues. To validate the effectiveness of the proposed method, we construct a laboratory and field studies to investigate its performance and accuracy. The experimental results show that the proposed hybrid approach has better performances in several aspects compared to the static profiling.

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“…In previous work [9,8,7,10], we explored the possibilities of context-awareness, service discovery and negotiation as the basis to deploy ubiquitous services in heterogenous environments. First, we explored the concept of delivery context in the Ubiquitous Web, seeking ways to acquire context data from user devices and enhancing the available mechanisms for negotiation and context acquisition across the delivery chain.…”

Section: Introductionmentioning

confidence: 99%