A context management framework for supporting context-aware distributed applications

Kranenburg, H. van; Bargh, Mortaza S.; Iacob, Sorin M.; Peddemors, Arjan J. H.

doi:10.1109/mcom.2006.1678112

Cited by 80 publications

(35 citation statements)

References 7 publications

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“…[2]) additionally characterize context dependency as an arrangement of strict or probabilistic standards and relations between context (s) and the result. Others outline and execute systems for detecting and handling context data [31], [32]. For a study, see Baldauf et al [33].…”

Section: Literature Surveymentioning

confidence: 99%

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Functional Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage

2016

IJSR

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Context data brings new open doors for productive and compelling applications and services on mobile devices. An extensive variety of examination has abused context dependency, i.e. the relations in the middle of context(s) and the result, to accomplish huge, evaluated, execution picks up for an assortment of applications and services. These works ordinarily need to manage the difficulties of numerous context sources prompting an inadequate preparing dataset, and the difficulties of energy hungry context sensors. Regularly, they address these difficulties in an application particular and specially appointed way. We free mobile application planners and analysts from these weights by giving a systematic way to deal with these difficulties. Specifically, we 1) characterize and measure the context-dependency of three central sorts of mobile use (went by sites, telephone calls, and application use) in an application freethinker yet viable way, giving understanding into the execution of potential application. 2) Address the test of information meager condition when managing various context sources in an efficient way. 3) Present SmartContext to address the energy challenge via consequently selecting among context sources while guaranteeing a base precision for every estimation. Our examination and discoveries depend on one year of utilization and context follows gathered, in actuality, settings from 24 iPhone clients. We show discoveries with respect to the context dependency of three sorts of mobile utilization from 24 clients, yet our philosophy and the lessons we learn can be promptly stretched out to different sorts of use and additionally framework assets. Our discoveries control the improvement of context mindful frameworks, and highlight the difficulties and assumptions in regards to the context dependency of mobile use.

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Section: Literature Surveymentioning

confidence: 99%

“…Further, Eagle and Pentland have demonstrated that gadget utilization examples are for sure organized and unsurprising [37]. The value of context has been significant to the point that numerous analysts have outlined and actualized structures for the particular assignment of detecting and preparing context [31], [32], [33].…”

Section: Literature Surveymentioning

confidence: 99%

Functional Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage

2016

IJSR

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“…Therefore, there is a need for a well-defined framework for the creation of these types of user-defined semantics, as well as of a framework for the assessment of their quality. Interesting avenues regarding semantic enrichment also include the integration of context information through context-aware systems principles (van Kranenburg et al 2006). Finally, standards for encoding the semantics of sensor data need to be improved in order to support improved semantic interoperability.…”

Section: Achievements Challenges and Perspectivesmentioning

confidence: 99%

Real Time Semantic Interoperability in Ad Hoc Networks of Geospatial Data Sources: Challenges, Achievements and Perspectives

Mostafavi

Bakillah

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent advances in geospatial technologies have made available large amount of geospatial data. Meanwhile, new developments in Internet and communication technologies created a shift from isolated geospatial databases to ad hoc networks of geospatial data sources, where data sources can join or leave the network, and form groups to share data and services. However, effective integration and sharing of geospatial data among these data sources and their users are hampered by semantic heterogeneities. These heterogeneities affect the spatial, temporal and thematic aspects of geospatial concepts. There have been many efforts to address semantic interoperability issues in the geospatial domain. These efforts were mainly focused on resolving heterogeneities caused by different and implicit representations of the concepts. However, many approaches have focused on the thematic aspects, leaving aside the explicit representation of spatial and temporal aspects. Also, most semantic interoperability approaches for networks have focused on automating the semantic mapping process. However, the ad hoc network structure is continuously modified by source addition or removal, formation of groups, etc. This dynamic aspect is often neglected in those approaches. This paper proposes a conceptual framework for real time semantic interoperability in ad hoc networks of geospatial data sources. The conceptual framework presents the fundamental elements of real time semantic interoperability through a hierarchy of interrelated semantic states and processes. Then, we use the conceptual framework to set the discussion on the achievements that have already been made, the challenges that remain to be addressed and perspectives with respect to these challenges.

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“…Context Management Framework (CMF) [12] is a generic framework that allows extension for application specific CA systems. It uses OWL_DL reasoner to process and exchange contextual information within the context domain.…”

Section: Related Workmentioning

confidence: 99%

Managing Contextual Information in Semantically-Driven Temporal Information Systems

Isiaq

Osman

Peytchev

2011

2011 UkSim 13th International Conference on Computer Modelling and Simulation

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Abstract-Context-aware (CA) systems have demonstrated the provision of a robust solution for personalized information delivery in the current content-rich and dynamic information age we live in. They allow software agents to autonomously interact with users by modeling the user's environment (e.g. profile, location, relevant public information etc.) as dynamically-evolving and interoperable contexts. There is a flurry of research activities in a wide spectrum at context-aware research areas such as managing the user's profile, context acquisition from external environments, context storage, context representation and interpretation, context service delivery and matching of context attributes to users 'queries etc. We propose SDCAS, a Semantic-Driven Context Aware System that facilitates public services recommendation to users at temporal location. This paper focuses on information management and service recommendation using semantic technologies, taking into account the challenges of relationship complexity in temporal and contextual information.

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A context management framework for supporting context-aware distributed applications

Cited by 80 publications

References 7 publications

Functional Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage

Functional Context Awareness: Measuring and Utilizing the Context Dependency of Mobile Usage

Real Time Semantic Interoperability in Ad Hoc Networks of Geospatial Data Sources: Challenges, Achievements and Perspectives

Managing Contextual Information in Semantically-Driven Temporal Information Systems

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