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Recommender systems are a subclass of information filtering system and are widely used in the ecommerce domain [13]. They filter huge amount of data to provide personalized recommendations on services or products to users. Most of the existing approaches to develop a recommender system do not take into account contextual information such as weather, day, time, distance and location to provide recommendations...
Several frameworks have already been proposed to simplify the development of context-aware applications. These frameworks are focused on collecting and publishing contextual data, and on providing common semantics, definitions and representations of these data. This implies that applications share the same semantics, which limits the range of use cases where a framework can be used since that assumption...
Contextual information are used to describe situations of entities (users and devices) and their interactions. Applications need such information in order to adapt their behaviour in response to changes in the entities context. In certain scenarios and in particular machine to machine, the integration of a large number of components makes the management of the generated contextual information a very...
The development of distributed smart homes is accelerating with the approach of the Pervasive Computing era. Heterogeneous devices and network is a significant feature in these smart homes. However, the realization of a real environment is difficult and always takes a long time. It is unrealistic to verify the availability of the entire system and make sure that all devices and applications can work...
Wireless mesh networks are an appropriate solution for broadband home networks in order to establish a ubiquitous environment. One of the main challenges in ubiquitous networks is context-awareness and personalized service discovery. Many service discovery protocols have been proposed in the literature. The most significant is the Universal Plug and Play (UPnP) technology, based on the Simple Service...
This paper proposes a generic policy based self-management model that can be used to automatically detect and repair the problems appeared during the context adaptation processes. To successfully capture and evaluate the dynamic rules that govern the context aware adaptation processes we have defined an generic context policy representation model and its associated reasoning language conversion model...
This paper proposes a generic self-healing algorithm that automatically detects, diagnoses and repairs the problems appeared during the context aware systems' adaptation processes. The set, situation calculus and information system theories are used to define and formalize the concepts of context situation entropy and equivalent context situations together with a set of self-healing principles. These...
Context-aware computing is one of the research fields of pervasive computing. Context-aware systems can react to the user's preference according to the circumstances called context including location, time and other environment conditions. Many context-aware computing paradigms were developed in recent year, however, it is difficult for the present systems to extend the application domains and interoperate...
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