Quality of Context: Handling Context Dependencies
نویسنده
چکیده
Context dependencies are one of the major problems in future ubiquitous computing environments. In this paper we introduce Genetic Relation of Contexts (GRC), a lightweight distributed algorithm to analyze interdependencies of context data in an efficient decentralized manner. We present first results of the evaluation of the system, proposing a relevant increase in context quality by the use of GRC, while at the same time energy consumption of computation tasks can be reduced. In our experiments GRC was able to reduce network traffic by up to 60% by filtering low quality contexts.
منابع مشابه
CAMAC: a context-aware mandatory access control model
Mandatory access control models have traditionally been employed as a robust security mechanism in multilevel security environments such as military domains. In traditional mandatory models, the security classes associated with entities are context-insensitive. However, context-sensitivity of security classes and flexibility of access control mechanisms may be required especially in pervasive c...
متن کاملPredicting invasive species impacts: a community module functional response approach reveals context dependencies
Predatory functional responses play integral roles in predator-prey dynamics, and their assessment promises greater understanding and prediction of the predatory impacts of invasive species. Other interspecific interactions, however, such as parasitism and higher-order predation, have the potential to modify predator-prey interactions and thus the predictive capability of the comparative functi...
متن کاملBig Data Quality: From Content to Context
Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...
متن کاملSound and Decidable Type Inference for Functional Dependencies
Functional dependencies are a popular and useful extension to Haskell style type classes. In this paper, we give a reformulation of functional dependencies in terms of Constraint Handling Rules (CHRs). In previous work, CHRs have been employed for describing user-programmable type extensions in the context of Haskell style type classes. Here, we make use of CHRs to provide for the first time a ...
متن کاملProbabilistic Unification Grammars
Recent research has shown that unification grammars can be adapted to incorporate statistical information, thus preserving the processing benefits of stochastic context-free grammars while offering an efficient mechanism for handling dependencies. While complexity studies show that a probabilistic unification grammar achieves an appropriately lower entropy estimate than an equivalent PCFG, the ...
متن کامل