Towards social paradigms for mobile context-aware computing in smart cities

Ponència presentada a la 11ª Conferencia Ibérica de Sistemas y Tecnologías de Información (CISTI 2016) celebrada a Gran Canaria els dies 15-18 de juny de 2016Mobile context-aware computing is an essential component of the smart cities infrastructure. Attempts were made to develop a model that can effectively represent a system in device to support context-aware behavior. The purpose of this paper is to identify deficiencies of the previously developed model and propose solutions to improve it.The authors gratefully acknowledge funding from the European Commission through the GEO-C project (H2020- MSCA-ITN-2014, Grant Agreement Number 642332, http://www.geo-c.eu/). Carlos Granell has been partly funded by the Ramón y Cajal Programme (grant numbers RYC-2014- 16913

Sociology Paradigms for Dynamic Integration of Devices into a Context-Aware System

Ubiquitous and m obile context - aware computing is an essential component of the smart cities infrastructure. Widely available wireless networks, the maturity level of distributed computing and the increasing number of mobile devices have significantly influenced the human experience with computing. In the present paper, we discuss the need for a model that will be able to represent a formal structure of a context - aware system in a device . The core functionality of the model is expected to expose context - aware behaviour and support dynamic integration of mobile devices and context - aware behaviour. The major contribution of this work is to identify deficiencies of the existing model which is using the notions from sociology such as Role, Ownership and Responsibility.The authors gratefully acknowledge funding from the European Commission through the GEO-C project (H2020-MSCA-ITN-2014, Grant Agreement Number 642332, http://www.geo-c.eu/)

Geocontext extraction methods analysis for determining the new approach to automatic semantic places recognition

Goal of this paper is to determine actual trends in geocontext extraction methods and to understand which types of geocontext information are the most interesting for users. For this purposes comparison of recent researches about geocontext analysis was done. Researches were compared by the type of achieved result, used formalism, source data and limitations. As the main result of comparison new approach for automatic semantic places recognition was proposed. This approach is based on geotags markup with semantic user-defined tags. The solution allows extracting information (coordinates and a set of corresponding semantic tags on the natural language) about locations which are interesting for the location-based services users. The main advantage of the approach is its simplicity - the method does not rely on any syntax analysis algorithms during the semantic labeling stage. For illustrating the approach an example of the general purpose accidents monitoring service for the Geo2Tag platform was described

Modeling, managing and reasoning about social contexts for socially-aware applications

Despite the huge prospects of pervasive social computing and the extensive work in context-aware applications, so far very limited work has focused on socially-aware applications. The key requirements to develop such applications are modeling, managing and reasoning about users' social contexts. To fulfil these requirements, in this PhD research, we have made an attempt to model, manage and reason about social contexts to aid the development of socially-aware applications. We study different types of social contexts, their use in various socially-aware applications and possible sources to acquire such social contexts. We will investigate existing context modeling and reasoning techniques and will propose an approach to modeling and reasoning about different types of social contexts. To aid the development of socially aware applications, we will provide a middleware platform for managing the acquisition, changes and provision of social contexts