Urban IoT ontologies for sharing and electric mobility

Cities worldwide are facing the challenge of digital information governance: different and competing service providers operating Internet of Things (IoT) devices often produce and maintain large amounts of data related to the urban environment. As a consequence, the need for interoperability arises between heterogeneous and distributed information, to enable city councils to make data-driven decisions and to provide new and effective added value services to their citizens. In this paper, we present the Urban IoT suite of ontologies, a common conceptual model to harmonise the data exchanges between municipalities and service providers, with specific focus on the sharing mobility and electric mobility domains

Enhancing Reproducibility and Trustability in Intelligent Asset Management Systems for the Railway Domain

The definition of an Intelligent Asset Management System (IAMS) requires integrating different digital artifacts to support the data-driven and proactive management of physical assets by companies. The implementation of such systems is often customly designed for a specific scenario and does not take into account best practices to enable the sharing and reuse of digital artifacts. Additionally, it is crucial to monitor the involvement of various stakeholders in the development of system functionalities that influence maintenance processes, enabling effective auditing activities. This paper focuses on addressing these challenges and presents the IAMS Integration Support Framework which was designed and demonstrated in the railway domain. The framework aims to enhance reproducibility and trustability in business scenarios within a multi-stakeholder environment

Analysing the Evolution of Community-Driven (Sub-)Schemas within Wikidata

Overview of the approach presented in our position paper "Analysing the Evolution of Community-Driven (Sub-)Schemas within Wikidata", accepted at the Wikidata Workshop 2022

The Survey Ontology: Packaging Survey Research as Research Objects

Surveys are a common and well explored method to collect information from people. Still, the sharing and reuse of survey data present several challenges for survey researchers that need to be supported in packaging and harmonising different resources describing a survey study. In this paper, we present the survey ontology that we designed to empower our CONEY toolkit for conversational surveys. Leveraging on Semantic Web technologies we aimed at building a solution to semantically annotate questions and answers at design time, and to easily elaborate and inter-link the collected data at analysis time. The survey ontology embraces the research object principles, and defines an open vocabulary to represent, annotate, and share a representation of the questionnaire structure and the gathered responses of a survey. We complement the discussion describing a complete survey research study carried out with CONEY and openly published as a research object

Study of travellers’ preferences towards travel offer categories and incentives in the journey planning context

Nowadays, efforts to encourage changes in travel behaviour towards eco-friendly and active modes of transport are intensifying. A promising solution is to increase the use of sustainable public transport modes. Currently, a significant challenge related to this solution is the implementation of journey planners that will inform travellers about available travel solutions and facilitate decision-making by using personalisation techniques. This paper provides some valuable hints to journey planner developers on how to define and prioritise the travel offer categories and incentives to meet the travellers’ expectations. The analysed data were obtained from a survey conducted in several European countries as part of the H2020 RIDE2RAIL project. The results confirm that travellers prefer to minimise travel time and stay on time. Also, incentives such as price discounts or class upgrades may play a crucial role in influencing the choices among travel solutions. By applying the regression analysis, it was found that preferences of travel offer categories and incentives are correlated with some demographic or travel-related factors. The results also show that subsets of significant factors strongly differ for particular travel offer categories and incentives, what underlines the importance of personalised recommendations in journey planners

Studio osservazionale multicentrico sulle alterazioni cutanee post-enterostomie (SACS). Classificazione delle alterazioni peristomali

Le problematiche relative alle stomie addominali hanno acquistato nel corso degli anni un'importanza sempre maggiore. A ciò hanno contribuito sia la notevole diffusione di queste gravi "menomazioni" che il sempre maggiore interesse suscitato dall'aspetto qualitativo e quantitativo della vita. Proprio per sottolineare l'interesse qualitativo della vita di questi particolari pazienti, nasce l'opportunità di questo studi

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Nowadays, efforts to encourage changes in travel behaviour towards eco-friendly and active modes of transport are intensifying. A promising solution is to increase the use of sustainable public transport modes. Currently, a significant challenge related to this solution is the implementation of journey planners that will inform travellers about available travel solutions and facilitate decision-making by using personalisation techniques. This paper provides some valuable hints to journey planner developers on how to define and prioritise the travel offer categories and incentives to meet the travellers’ expectations. The analysed data were obtained from a survey conducted in several European countries as part of the H2020 RIDE2RAIL project. The results confirm that travellers prefer to minimise travel time and stay on time. Also, incentives such as price discounts or class upgrades may play a crucial role in influencing the choices among travel solutions. By applying the regression analysis, it was found that preferences of travel offer categories and incentives are correlated with some demographic or travel-related factors. The results also show that subsets of significant factors strongly differ for particular travel offer categories and incentives, what underlines the importance of personalised recommendations in journey planners.</div

Socio-demographic characteristics of survey participants.

A Gender distribution. B Country of residence. C Age distribution. D Employment status. E Education level.</p