A Context Lifecycle for Web-Based Context Management Services

Hynes, Gearoid; Reynolds, Vinny; Hauswirth, Manfred

doi:10.1007/978-3-642-04471-7_5

Cited by 19 publications

(18 citation statements)

References 7 publications

(7 reference statements)

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“…81 A context-aware system can acquire, interpret, and use context information as well as adapt its operation in response to any change in context. However, the contradictions in the context-awareness definitions and characterizations originate from the types of services that the systems provide to the entities.…”

Section: Context-awareness Definition and Characteristicmentioning

confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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Movement of an entity is greatly affected by its internal and external contexts. Such consequential influence has created new paradigms for context-aware movement data mining and analysis. The significance of incorporating contextual information and movement data is becoming quite evident because of the growing interest in context-aware movement analysis. Despite such importance, there is limited consensus among researchers on the definition of context and context-aware system design in movement studies. Therefore, this paper comprehensively reviews current concepts of context and provides a definition and a taxonomy for context in movement analysis. The paper proceeds by providing a definition of context-aware systems in the movement area after a complete review and comparison of the present definitions present in the literature. Inspired by related works, the paper further suggests a holistic three-layer design framework tailored to context-aware systems in movement studies to examine in greater depth the techniques applied during the design stages. The paper outlines the challenges and emergent issues in future research directions in context-aware movement analysis. The present study is an attempt to bridge the gap between solely using context and developing context-aware systems, thus paving the way for further research in movement applications. © 2017 Wiley Periodicals, Inc. How to cite this article:WIREs Data Mining Knowl Discov 2018Discov , 8:e1233. doi: 10.1002Discov /widm.1233 INTRODUCTIONM ovement is intrinsically a continuous phenomenon and is normally recorded as discrete snapshots at different temporal resolutions. The three fundamental sets pertinent to movement are space S (i.e., set of locations/places), time T (i.e., set of instants/intervals), and object O (i.e., set of entities). 1 In this paper, by movement we mean the change in the spatial location of one or more entities (e.g., people, animals, and vehicles) over time, not a change in entities' geometries (e.g., an individual's body parts). Such changes can be represented as a function μ: T ! S, which maps any time to a location in space. The purpose of analyzing movement data in the majority of research fields (e.g., geography, ecology, sociology, and transportation) has focused on the development of insights into the behavior of moving entities. However, the movement behavior of entities is generally associated with their internal states and external factors. 2 In other words, understanding entities' movement greatly depends on recognizing the characteristics attributed to the entity itself (e.g., the entities' purposes and intentions for movement, the entities' perceptions of space) as well as the discovery of geographical circumstances during the movement (e.g., weather conditions and traffic). We, respectively, term these influential variables internal and external contexts in this paper. of 19Because of the progress in sensing, imaging, tracking, and navigation technologies and infrastructures in recent years, unprecedented amount...

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Section: Context-awareness Definition and Characteristicmentioning

confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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“…The third foundation of this operational definition is the notion of context life cycle [6]. According to Hynes, context In summary, three important aspects constitute the foundation of our operational definition of context.…”

Section: Characterization Of Context Informationmentioning

confidence: 99%

“…The second one is the operational extension of this definition given by Zimmermann et al [5]. Our operational definition is a combination of these two definitions and the notion of context life cycle applied by Hynes [6]. An operational definition has the advantage of being more concrete and directly implementable than just abstract/conceptual definitions.…”

Section: Introductionmentioning

confidence: 98%

Managing Dynamic Context to Optimize Smart Interactions and Services

Villegas

Müller

2010

Lecture Notes in Computer Science

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Abstract. With the rapid growth of socio-technical ecosystems, smart interactions and services are permeating every walk of life. As smart interactions must managed automatically and interactively in response to evolving user's matters of concern, the smart Internet requires creative approaches where services and interactions are implemented with awareness of, and dynamic adaptation to, users, computational environments, changing policies and unknown requirements. Consequently, modeling and managing dynamic context is critical for implementing smart services and smart interactions effectively. Thus, smart interactions need infrastructure to acquire, compose, and distribute context information to multiple execution endpoints. Moreover, context management must be controlled and governed to optimize system properties. This chapter surveys context modeling and management approaches intended for the optimization of smart interactions and services, discusses the main challenges and requirements of context-awareness in the smart Internet, and provides a feature-based framework useful for the evaluation and implementation of context modeling and management mechanisms.

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“…The frameworks must be exible to support multi-modal reasoning, while having access to contextual information both realtime as well as historic. Frameworks to support Context-asa-Service (CXaaS) has been discussed in [82], the life cycle is classi ed into Enterprise Life-cycle Approaches (ELA) and Context Life-cycle Approaches (CLA). ELA concentrates on context whereas CLA dwells into context management.…”

Section: Context Information Fusion Frameworkmentioning

confidence: 99%

“…ELA circle around 'information life-cycle' (creating, receipt, distribution, use, maintenance, and disposition); 'enterprise content management'; 'Observe, Orient, Decide, Act' OODA/Boyd loop [80]. CLA life-cycles works around context sensing, context transmission, context acquisition, context classi cation, context handling, context dissemination, context usage, context deletion, context maintenance, context disposition [82]. The simplest context life cycle can be put in four phases as shown in the Figure 9 [83].…”

Section: Context Information Fusion Frameworkmentioning

confidence: 99%

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

Borges

2016

Open Computer Science

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Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Networks. Sensor Networks produce a large amount of data. According to the needs this data requires to be processed, delivered and accessed. This processed data when made available with the physical device location, user preferences, time constraints; generically called as context-awareness; is widely referred to as the core function for ubiquitous systems. To our best knowledge there is lack of analysis of context information fusion for ubiquitous sensor networks. Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. In this paper we try and explore di erent context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. All the surveyed techniques can be adapted to the IoT framework.

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A Context Lifecycle for Web-Based Context Management Services

Cited by 19 publications

References 7 publications

Context‐aware movement analytics: implications, taxonomy, and design framework

Context‐aware movement analytics: implications, taxonomy, and design framework

Managing Dynamic Context to Optimize Smart Interactions and Services

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

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