In this demostration, we show the feasibility and the main functionalities of a low-cost, nomadic platform for Smart District services. The goal of the platform is to enable the extension of Smart City services to smaller cities, to towns and into the countryside, bypassing the natural barriers through the use of services and vectors which are naturally cross-domain, such as public transportation vehicles, and moving people. The platform is based on mobile and opportunistic sensing, on crowdsensing, and on strategies for community engagement and co-creation mediated by a map-based crowdsourcing application.
A driving force behind the development of novel services tailored to the needs of citizens is the increasing flexibility of social time. Even though city residents may possess valuable information for other citizens visiting their home area, it is hardly usable with today's information systems because of the inevitably scattered information resources. City-Stories platform is composed of three main modules: 1) Data integrator module responsible of gathering distributed and heterogeneous data and offering data alignment, mapping and cleaning. 2) Retrieval engine that stores combined and semantically enriched data and metadata in order to serve as basis for advanced spatio-temporal and personalized queries. 3) Knowledge crowdsourcing and visualization module that offers an adaptive and profile aware crowdsourcing and knowledge visualization and navigation interface.
The goal of the project is to valorise the existing cultural heritage through a citizen centric design platform. In order to provide this novel spatio-temporal multimedia platform, City-Zen needs to rely on a database which contains the integrated information coming from various sources such as linked open data, user-provided data (e.g., ratings, photos), geo-spatial data, temporal data and multimedia data (heterogeneous data integration, linking mapping and cleaning). Its core is a database with a spatio-temporal data model with a sophisticated index structure that supports the different query types identified above (knowledge based querying and browsing). It relies also on a set of data visualization approaches, browsing and visualization (personalized data and information visualization).
Crowdsourced map based mobile application for the wheelchair accessibility in Switzerland. Creating an optimal travel plan is not an easy task, particularly for people with mobility disabilities, for whom even simple trips, such as eating out in a restaurant, can be extremely difficult. Many of their travel plans need to be made days or even months in advance, including the route and time of day to travel. These plans must take into account ways in which to navigate the area, as well as the most suitable means of transportation. In response to these challenges, WeMap was designed to develop a solution that used linked data technologies in the domains of tourism services and e-governance to build a smart city application for wheelchair accessibility. This smart phone application provides useful travel information to enable those with mobility disabilities to travel more easily.
Switzerland is one of the most desirable European destinations for Chinese tourists, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform – Sina Weibo, has more than 600 million users. Weibo’s great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. The goal of this research is to understand Chinese tourists’ behaviors and patterns in Switzerland by adopting a linked data approach on Sina Weibo, and to design a decision support system based on the findings.
OverLOD Surfer enables the management of a server of RDF data, in a distributed data environment, making data available for the specific front-end applications. Programmers of the applications don't need to know about RDF. Developed on Apache Marmotta, it provides specific features for data integration and constraints checking, as well as data usage statistics for data providers and consumers.
This project is to enhance the phase of process modelling of Swiss E-government public processes by suggesting to the modeller process fragments for auto completion from a semantic repository. Created processes are linked and semantically enriched with ontology concepts related to the domain of cyber administration aiming to enhance query results in the repository as well as improve process documentation. We focus on linking the processes to the cyber administration standards.
This research project focused on using semantic web technologies in an energy data management system in 2013. Specifically, we provided a federated approach - a mediator server - that allows users to access to multiple heterogeneous data sources, including four typical types of databases in energy data resources: relational database, Triplestore, NoSQL database, and XML. We developed and tested our solution by a case study in a Swiss energy company and tested the system based on a mobile platform.
MMHS uses the possibilities offered by mobile technologies and social networks for patient education and for therapeutic monitoring and follow-up. In particular, it has been designed as a didactic and pedagogical electronic device for children and adolescents with a chronic disease. Its aim is to help them to better cope with their illness.
Memoria-Mea project (2007) aims to develop a PIM system for managing multimedia content. It focuses on supporting a person in organizing and retrieving information across the whole collection of multimedia documents he/she has accessed and collected during daily life activities. For this project, we did develop OntoMea, a semantic knowledge base engine build on the Jena framework.
A 2008 tourism research project to study with the Swiss politics leaders in tourism the possibilities to create a unique touristic card. The ideal solution would allow a tourist to manage every aspect of its stay with a single card: ski, diverse activities pay per use, transportations, hotels, etc. To achieve this, a centralization of data at some point in time is mandatory. This raises other issues like the query of information on those huge and scattered Swiss tourism databases. Part of this research program is about understanding what the Semantic Web could bring to the final solution: a crawler was developed to transform data from websites (as TripAdvisor or Loisirs.ch) to RDF, load data in a local knowledge base, then provide user interfaces to query the aggregated data from different sources.