A survey on context-aware systems

Baldauf, Matthias; Dustdar, Schahram; Rosenberg, Florian

doi:10.1504/ijahuc.2007.014070

Cited by 1,543 publications

(885 citation statements)

References 39 publications

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“…Context [3] can be segregated into different dimensions such as external context and internal context or physical context and logical context. Context can [4] also be divided into four categories such as computing context, physical context, user context and time context.…”

Section: A Contexts and Context Awarenessmentioning

confidence: 99%

Contextual Requirements for Mobile Native Applications

Pani¹,

Mishra²

2017

ijacsa

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Abstract-Mobile apps have found wide acceptance in today's world which heavily depend on smart technology to access data over wide location. The apps are mostly of native type which can be used for accessing data even without the internet availability. In this paper the development of mobile native applications requires the assimilation of various analytical contexts depending on the requirement of users. We have done an empirical study of various papers based on ubiquitous systems and mobile apps for finding out the contexts in building mobile native apps and the mobile contexts are such as device context, user context, mobility context and social context. We have found that the overall weight of each mobile context is an empirical study. We have taken various activities which are performed among a user and mobile native apps and formed them into questionnaires which are sent to different mobile native app developers of different software industries. The mapping is done among these activities with the attributes and their associated mobile contexts. We have identified and obtained four contexts as main requirements for developing mobile native apps under any domain. The analysis of requirements is done modeling the contexts and their attributes through OWLDL language. We have determined from the empirical study that the overall weight of device context is more than the other contexts. Hence it is clear that the device context with its numerous features have a great impact on developing mobile native apps under any domain.

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Section: A Contexts and Context Awarenessmentioning

confidence: 99%

Contextual Requirements for Mobile Native Applications

Pani¹,

Mishra²

2017

ijacsa

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“…For Baldauf et al (2007), such environments are able to adapt their operations to the current context without explicitly requiring user intervention, thus seeking to maximise their usability and effectiveness, while taking into accounts the environmental context. Examples of possible applications are travel guides, restaurants, smart homes, etc.…”

Section: Contextmentioning

confidence: 99%

An adaptive environment based on Moodle with treating of quality of context

Nunes

Herpich

Voss

et al. 2015

IJKL

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Ubiquitous learning (U-Learning) environments collect context information relative to user's preferences and needs, but this information is typically very volatile. On this basis, the Quality of the Context aims at treating this information with the application of the quality parameters. This paper presents a ubiquitous virtual environment, in which three modules (U-SEA, SEDECA and QoC) were developed and integrated with Moodle, and describes the use of a Bootstrap theme to automatically adapt the interface on mobile devices. The results about the integrated modules showed that the UVLE QoC environment operated satisfactorily, based on the assessments made by the group of users who tested the modules and their operation.

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“…Previous studies (Strang & Linnhoff-Popien, 2004;Baldauf, Dustdar, & Rosenberg, 2007; O. Lassila & Khushraj, 2005) have identified ontologies as the most promising enabler for ubiquitous context-aware systems because they are heterogeneous and extensible by nature, and semantic technology enables « future-proof » interoperability.…”

Section: State-of-the-artmentioning

confidence: 99%

Leveraging Semantic Technologies towards Social Ambient Intelligence

Joly

Maret

Bataille³

2010

Ubiquitous and Pervasive Computing

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At a time when the amount of information grows exponentially on the Internet, when most people can be connected at all times with powerful personal devices, we need to enhance, adapt and simplify access to information and communication with other people. The vision of ambient intelligence which is a relevant solution, brings many challenges in the domain of contextawareness, adaptive human-system interaction, privacy enforcement and social communications. We believe that ontologies and other semantic technologies can help to meet most of these challenges in a unified manner, as they are a bridge between meaningful (but fuzzy by nature) human knowledge and digital information systems. In this chapter, we review several utilizations of semantic technologies for context management, adaptive human-system interaction, privacy enforcement and social communications in the scope of ubiquitous computing. Based on identified benefits and lacks, we propose several research leads towards the realization of a unified ubiquitous system based on the social web and semantic technologies.

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A survey on context-aware systems

Cited by 1,543 publications

References 39 publications

Contextual Requirements for Mobile Native Applications

Contextual Requirements for Mobile Native Applications

An adaptive environment based on Moodle with treating of quality of context

Leveraging Semantic Technologies towards Social Ambient Intelligence

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