Capturing User Contexts: Dynamic Profiling for Information Seeking Tasks

Shtykh, Roman Y.; Jin, Qun

doi:10.1109/icsnc.2008.55

Cited by 15 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Applications of unsupervised learning techniques in relation to body sensor networks are surveyed in [154]. The unsupervised clustering method has been employed to capturing user contexts by dynamic profiling in [159].…”

Section: Context Reasoning Decision Modelsmentioning

confidence: 99%

Context Aware Computing for The Internet of Things: A Survey

Perera

Zaslavsky

Christen

et al. 2014

IEEE Commun. Surv. Tutorials

2,311

1,354

View full text Add to dashboard Cite

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

show abstract

Section: Context Reasoning Decision Modelsmentioning

confidence: 99%

Context Aware Computing for The Internet of Things: A Survey

Perera

Zaslavsky

Christen

et al. 2014

IEEE Commun. Surv. Tutorials

2,311

1,354

View full text Add to dashboard Cite

show abstract

“…In [17], in contrast to fragmentary context [18] we can obtain by observing only a part of user activities. But for this, the proposed system has to have full control of services which are requested (or may be requested or needed) by a user.…”

Section: Major Challengesmentioning

confidence: 94%

Harnessing User Contexts to Enable Flowable Services Model

Zhu

Shtykh

Jin

2010

2010 3rd International Conference on Human-Centric Computing

Self Cite

View full text Add to dashboard Cite

Services are expected to be a promising way for people to use information and computing resources in the emerging ubiquitous network society. In this study, we propose a metaphoric concept called flowable service. It is defined as a logical stream that organizes and provides circumjacent services in such a way that they are perceived by individuals as those naturally embedded in their surrounding environments. We present our view on how some of these problems, such as flexibility, portability and interoperability of services, can be solved using the flowable services to make seamless integration of diverse services in an intuitive "flowable" way possible, thus achieving maximum satisfaction of both service providers and consumers while decreasing the delivery cost of services. Recognizing the importance of the awareness of each individual's context for smooth and accurate provision of services, we conceive the flowable service framework that harnesses users' contexts to enable pro-active support of human activities in a flexible and natural way. Owing to context-awareness, the framework is able to find and integrate the circumjacent services that are considered to be needed by each individual, and create an ambient service environment tailored to his/her particular needs, proclivities and characteristics.

show abstract

Elements of Context Awareness

Temdee

Prasad

2017

Context-Aware Communication and Computing: Applications for Smart Environment

View full text Add to dashboard Cite

Capturing User Contexts: Dynamic Profiling for Information Seeking Tasks

Cited by 15 publications

References 11 publications

Context Aware Computing for The Internet of Things: A Survey

Context Aware Computing for The Internet of Things: A Survey

Harnessing User Contexts to Enable Flowable Services Model

Elements of Context Awareness

Contact Info

Product

Resources

About