Context is key

Coutaz, Joëlle; Crowley, James L.; Dobson, Simon; Garlan, David

doi:10.1145/1047671.1047703

Cited by 399 publications

(226 citation statements)

References 5 publications

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“…Context identification as been recognized as an enabling technology for proactive applications and contextaware computing [4,5]. Sensor networks can be used to capture intelligence (as in the e-SENSE project [6]), providing sensing capabilities from the environment and opening opportunities for context-aware services.…”

Section: Related Workmentioning

confidence: 99%

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Providing user context for mobile and social networking applications

Santos

Cardoso

Ferreira

et al. 2010

Pervasive and Mobile Computing

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The processing capabilities of mobile devices coupled with portable and wearable sensors provide the basis for new context-aware services and applications tailored to the user environment and its daily activities. In this article, we describe the approach developed within the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth to provide user contexts. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information in web-centered servers that support well-known social networking services. In the current prototype, context inference is based on decision trees to learn and to identify contexts dynamically at run-time, but the middleware allows the integration of different inference engines if necessary. Experimental results in a real-world setting suggest that the proposed solution is a promising approach to provide user context to local mobile applications as well as to network-level applications such as social networking services.

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Section: Related Workmentioning

confidence: 99%

“…In prototypes with concealed sensors one needs only to guarantee that some sensors in particular must be exposed to allow for more accurate measurements. The system comprises either a Sony Ericsson W910i mobile phone 4 or a Nokia N95 mobile phone 5 and a…”

Section: Sensors and Prototypementioning

confidence: 99%

Providing user context for mobile and social networking applications

Santos

Cardoso

Ferreira

et al. 2010

Pervasive and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…and should be integrated and adapted into the context, such as personal, data-related, task-related, and organisational (cf. [20,21]). …”

Section: Introductionmentioning

confidence: 99%

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

Soylu

Skjæveland

Giese

et al. 2013

Communications in Computer and Information Science

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Abstract. Data access in an enterprise setting is a determining factor for the potential of value creation processes such as sense-making, decision making, and intelligence analysis. As such, providing friendly data access tools that directly engage domain experts (i.e., end-users) with data, as opposed to the situations where database/IT experts are required to extract data from databases, could substantially increase competitiveness and profitability. However, the ever increasing volume, complexity, velocity, and variety of data, known as the Big Data phenomenon, renders the end-user data access problem even more challenging. Optique, an ongoing European project with a strong industrial perspective, aims to countervail the Big Data effect, and to enable scalable end-user data access to traditional relational databases by using an ontology-based approach. In this paper, we specifically present the preliminary design and development of our ontology-based visual query system and discuss directions for addressing the Big Data effect.

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“…These applications need to act in a context-aware manner and therefore have to deal with temporal, spatial, personal or social information provided by the environment. This demands a change of paradigm in application development towards adapting behavior to adjust to the current situation [9]. This is hard to achieve as capturing all possible use cases during design-time is difficult.…”

Section: Introduction and Goalsmentioning

confidence: 99%

Providing Context-Aware Adaptations Based on a Semantic Model

Söldner¹,

Kapitza²,

Meier³

2011

Distributed Applications and Interoperable Systems

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Abstract. Smartphones and tablet PCs are on the verge of revolutionizing the information society by offering high quality applications and almost permanent connectivity to the Internet in a mobile world. They naturally support new applications that take advantage of context information like location, time and other environmental conditions. However, developing these novel context-aware applications is challenging as it is difficult to a priori anticipate their execution context and the adaptations that might be necessary to use new context information. This issue is reinforced by the semantic gap between the low-level technical realization of adaptation mechanisms and the demand to describe adaptations in abstract and comprehensible business terms. This paper presents programming support for context-aware adaptations based on a semantic model that builds on the AOCI framework. Using such a model, applications and adaptations can be described by means of easy to comprehend business terms. Thereby the model enables the AOCI framework to store and publish both context and domain-specific run-time information and provides a basis for high-level and tailored programming support. This enables to transparently select adaptations based on various criteria and integrate them into applications at run-time. At the level of adaptation mechanisms our approach supports integration for permanent changes using Aspect-Oriented Programming and more importantly for spontaneous and short-time integration of web services by means of interceptors.

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Context is key

Abstract: Context is not simply the state of a predefined environment with a fixed set of interaction resources. It's part of a process of interacting with an ever-changing environment composed of reconfigurable, migratory, distributed, and multiscale resources.

Cited by 399 publications

References 5 publications

Providing user context for mobile and social networking applications

Providing user context for mobile and social networking applications

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

Providing Context-Aware Adaptations Based on a Semantic Model

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