Smart space-based intelligent mobile tourist guide: Service-based implementation

The paper presents an intelligent mobile tourist guide architecture that allows tourists to get information about attractions around the current geographic location based on tourist context and estimations of other tourists. Information about attractions (images and description blocks) is extracted from different internet services (like Wikipedia, Wikivoyage, Wikitravel, Panoramio, Flickr) “on the fly” that allows to use mobile tourist guide in any region of the world and get actual at the moment information. The mobile tourist guide provides information about public transport and car sharing possibilities for the tourist with drivers nearby for comfortable reaching preferred attractions. It is based on the smart space technology that provides possibilities of personal devices and different services seamless integration. The paper also discusses services interaction in smart space that allows to implement majority of mobile tourist guide tasks in computational power devices and use personal mobile devices only for results visualization

Decision Support Service Based on Dynamic Resource Network Configuration in Human- Computer Cloud

Recently, there is an upsurge of systems where a human plays not only a role of a consumer, but serves as an integral part of information processing workflow, providing some services to other parts of a system. The concept of a human- computer cloud aims to mitigate development of such systems by providing a unified resource management environment that could serve as a basis on which any human-based application could be deployed. One of the most important upper-level applications of such human-computer cloud environment is an ability to form dynamic networks of human contributors and software resources to solve ad hoc tasks given by the end user. This paper discusses main models, methods and algorithms leveraged for building such task-driven resource networks