We focus on modeling and computing of aware context with uncertainty for making dynamic decision during seamless mobile service. We re-examine formalism of random set, which is not finite-set statistics (FISST), argue the limitations of the direct numerical approaches, give new modeling mode based on random sets theory (RST) for aware context, and propose our computing approach of modeled aware...

Context-aware systems are ubiquitous computing systems capable to adapt their behavior according to a dynamical changing environment. The development of reasoning and modeling techniques of context information have resulted a challenging task due to the inherent complexity of dynamical systems. In particular, modeling time and location context information have been so far constrained in current...

Ontologies are a widely accepted instrument for the modeling of context information. We consider the identification of the benefits and difficulties of ontology-based modeling to be an important next step to further improve the usability of ontologies in context-aware systems. We gather a set of criteria with respect to ontology engineering and context modeling and analyze some recent outcomes ...

This paper discusses four algorithms for detecting anomalies in logs of process aware systems. One of the algorithms only marks as potential anomalies traces that are infrequent in the log. The other three algorithms: threshold, iterative and sampling are based on mining a process model from the log, or a subset of it. The algorithms were evaluated on a set of 1500 artificial logs, with differe...

Although many context-aware systems have been developed, little attention has been paid to building a uniform framework of a Context Base and Context Base Management Systems (CBMS). Consequently, each context-aware system has to be built from the ground up. It is important that context-aware systems share context data across different domains and with all devices or services. Therefore, context...

In ubiquitous computing the provisioning of context-aware services is typically aided by a context provisioning middleware. The essential functionalities undertaken by the middleware include distributed data acquisition from sensors, context modelling, context synthesis, reasoning and context dissemination. This paper focuses on the evaluation methodologies of context-aware systems that aim to ...

An infrastructure approach to support context-aware pervasive computing is advantageous for rapid prototyping of context-aware distributed applications and beneficial for unifying modelling of context and reasoning in uncertain conditions. This paper presents the ECORA framework for context-aware computing, which is designed with a focus on reasoning about context under uncertainty and addressi...

Since business rules aim at enforcing regulations in an organization, they are critical governing activities from a managerial standpoint. On the other hand, another type of has emerged context-aware service systems: context rules. Context employed for reasoning to recommend and operate right services appropriate manner. In this sense, ensure smartness smart systems. For decades, researchers pr...

Context-aware systems are applications that adapt to several situations involving user, network, data, hardware and the application itself. Researchers in context-awareness have concentrated on how to capture context data and to carry it to the application. In this paper, we study the impact of context on the core of the application. First, we give the guidelines of a context model based on a m...