Pierfrancesco Bellini

University of Florence | UNIFI · Dipartimento di Ingegneria dell'Informazione

A main key success for public transportation networks is their tuning by the analysis of mobility demand with respect to the offer in terms of public transportation means. Most of the solutions at the state of the art have strong limitations in taking into account: multiple contextual information as attractors/motivations for people movements, moda...

In recent years, smart cities have been significantly developed and have greatly expanded their potential. In fact, novel advancements to the Internet of things (IoT) have paved the way for new possibilities, representing a set of key enabling technologies for smart cities and allowing the production and automation of innovative services and advanc...

Fashion retail has a large and ever-increasing popularity and relevance, allowing customers to buy anytime finding the best offers and providing satisfactory experiences in the shops. Consequently, Customer Relationship Management solutions have been enhanced by means of several technologies to better understand the behaviour and requirements of cu...

In the context of Smart City applications, the usage of Smart City APIs, for exposing services and data to web and mobile applications, is quite frequent. Most of the mobile solutions, using the Smart City APIs, are focused on a single city which can expose several services that are contextualized on a single geographic area. In fact, passing from...

Drastic changes into city road traffic may impact in large portions of the city, then hypothetical scenarios have to be analyzed to identify the best solutions to maintain high quality of city services. In this paper, a solution for unexpected or planned events is proposed and validated with the major focus on traffic flow fields. In order to mitig...

The Internet of things has produced several heterogeneous devices and data models for sensors/actuators, physical and virtual. Corresponding data must be aggregated and their models have to be put in relationships with the general knowledge to make them immediately usable by visual analytics tools, APIs, and other devices. In this paper, models and...

Forecasting future values of air quality related metrics and specific pollutant concentration could be of pivotal importance in recent Smart City perspectives. A number of pollutants are dangerous for people’s health and impact on environment and climate. In order to control and reduce the emissions, national and international organizations have de...

Despite of the large discussions in the area of city strategies, the effective compliance assessment of each city area with respect to 15-Minute City concepts are still not clear in terms of computation. A huge amount of aspects have to be taken into account, such as: Housing, Govern, Safety, Culture and Cults Services, Environment, Slow Mobility,...

The push towards Industry 4.0 is constraining the industries to work in integrated supply chains. This implies to be open to the integration their production plants with other plants, and to provide access to their data and processes. In most cases, this also means to give access at data and flows to their customers to perform some synchronizations...

According to the COVID-19 lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility and environment, and specifically on traffic, environmental data and parking. The mobility reduction has been assessed to be quite coherent with respect to what has been described by Google Global mobility...

Today, the complexity of urban systems combined with existing and emerging threats constrains administrations to consider smart technologies and related huge amounts of data generated as a means to take timely and informed decisions. The smart city needs to be prepared for both expected and unexpected situations, and the possibility to mitigate the...

According to the changed operative conditions due to lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility, environment, social media and people flows. While in this first report only mobility, transport and environment are reported. The analysis performed identified a strong reduction...

The Internet of Things (IoT) paradigm enables computation and communication among tools that everyone uses daily. The vastness and heterogeneity of devices and their composition offer innovative services and scenarios that require a new challenging vision in interoperability, security and data management. Many IoT frameworks and platforms claimed t...

An important problem in improving mobility services consists in analyzing the transportation offer with respect to the demand of mobility. The purpose is always the assessment of the service for its improvements. This activity can be approached having all the historical data, while in most cases is not realistic due to the expensive process of data...

Smart Cities are approaching the Internet of Things (IoT) World. Most of the first-generation Smart City solutions are based on Extract Transform Load (ETL); processes and languages that mainly support pull protocols for data gathering. IoT solutions are moving forward to event-driven processes using push protocols. Thus, the concept of IoT applica...

The new Internet of Things/Everything (IoT/IoE) paradigm and architecture allows one to rethink the way Smart City infrastructures are designed and managed, but on the other hand, a number of problems have to be solved. In terms of mobility the cities that embrace the sensoring era can take advantage of this disruptive technology to improve the qua...

Smart cities are providing advanced services aggregating and exploiting data from different sources. Cities collect static data such as road graphs, service description, as well as dynamic/real time data like weather forecast, traffic sensors, bus positions, city sensors, events, emergency data, flows, etc. RDF stores may be used to set up knowledg...

A large range of new applications are appearing nowadays on the Web in which content and data produced by single users or groups are going to be adapted, composed and aggregated and then redistributed in other forms to other users and/or groups. In this context, the management of intellectual property rights (IPR) of the users collaborating in auth...

This article aims at introducing the role and the composition of the CRAMSS to enhance UTS resilience.

Monitoring, understanding and predicting city user behaviour (hottest places, trajectories, flows, etc.) is one the major topics in the context of Smart City management. People flow surveillance provides valuable information about city conditions, useful not only for monitoring and controlling the environmental conditions, but also to optimize the...

The main technical issues regarding smart city solutions are related to data gathering, aggregation, reasoning, data analytics, access, and service delivering via Smart City APIs (Application Program Interfaces). Different kinds of Smart City APIs enable smart city services and applications, while their effectiveness depends on the architectural so...

Complexity of cloud infrastructures needs models and tools for process management, configuration, scaling, elastic computing and cloud resource health control. This paper presents a Smart Cloud Engine and solution based on a Knowledge Base, KB, with the aim of modeling cloud resources, Service Level Agreements and their evolutions, and enabling the...

Many smart city solutions are providing access to city users at geolocalized services. These services can be related to static and/or real time data of the city including: information, point of interests, mobility and transport, energy, environment, health, tourism and culture, wine and food, etc. Km4City aggregated a large number of data and is pr...

Almost all relevant infrastructures are using cloud‐based approaches to manage their resources, and have set up high‐availability solutions addressing different layers such as IaaS, PaaS, and SaaS. Several vendors are covering different aspects and supporting different services natively for cloud solutions. Most of them provide specific products ad...

The main technical issues regarding smart city solutions are related todata gathering, aggregation, reasoning, access, and service delivering via Smart City APIs (Application Program Interfaces). Aggregated and re-conciliated data (open and private, static and real time) should be exploitable by reasoning/smart algorithms for enabling sophisticated...

Allocation changes on cloud are complex and time consuming tasks, on cloning, scaling, etc. A solution to cope with these aspects is to perform a simulation. Cloud simulators have been proposed to assess conditions adopting specific models for energy, cloud capacity, allocations, networking, security, etc. In this paper, ICARO Cloud Simulator is pr...

Complexity of cloud infrastructures needs models and tools for process management, configuration, scaling, elastic computing and healthiness control. This paper presents a Smart Cloud solution based on a Knowledge Base, KB, with the aim of modeling cloud resources, Service Level Agreements and their evolution, and enabling the reasoning on structur...

Smart City frameworks address new challenges to improve efficiency and sustainability of services for citizens, providing additional features and allowing the city environment to adaptively configure according to collected data and information. To this aim, Decision Support Systems, DSS, have recently been acquiring increasing importance in such a...

Smart cities are providing advanced services gathering data from different sources. Cities collect static data like road graphs, service description as well as dynamic/real time data like weather forecast, traffic sensors, bus positions, events, emergency data, etc. RDF stores may be used to integrate all information coming from different sources a...

Graph databases are taking place in many different applications: smart city, smart cloud, smart education, etc. In most cases, the applications imply the creation of ontologies and the integration of a large set of knowledge to build a knowledge base as an RDF KB store, with ontologies, static data, historical data and real time data. Most of the R...

Multimedia services of cultural institutions need to be supported by content, metadata and workflow management systems to efficiently manage huge amount of content items and metadata production. Online digital libraries and cultural heritage institutions, as well as portals of publishers need an integrated multimedia back office in order to aggrega...

The complexity of Cloud infrastructures is increasing every year, requiring new concepts and tools to face off topics such as process configuration and reconfiguration, automatic scaling, elastic computing and healthiness control. This paper presents a Smart Cloud solution based on a Knowledge Base, KB, with the aim of modeling cloud resources, Ser...

Intellectual Property Rights (IPR) modelling allows specifying how a digital content can be used. The IPR management systems can be classified in Digital Rights Management (DRM) systems allowing to control ‘all’ the possible different uses of a digital content (e.g. distribution, enhancement, adaptation) and Conditional Access Systems (CAS) allowin...

Digital rights management solutions are today quite widespread. Their cost is still quite expensive, and thus in many cases, their application is limited to specific business cases. On the other hand, the market still offers large cases where scalable DRM solutions would find their applicability, for example the management of complex cross media co...

Recent challenges in information retrieval are related to cross media information in social networks including rich media and web based content. In those cases, the cross media content includes classical file and their metadata plus web pages, events, blog, discussion forums, comments in multilingual. This heterogeneity creates large complex proble...

Presently, a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to id...

Large and complex infrastructures as industry plants and hospitals are vulnerable to natural, man-made disasters, and causality events. In this paper, we present a solution addressing the guiding personnel during maintenance and/or emergency conditions. The aim is to reduce the time needed to react and to cope with organization and maintenance supp...

A number of accessible RDF stores are populating the linked open data world. The navigation on data reticular relationships is becoming every day more relevant. Several knowledge base present relevant links to common vocabularies while many others are going to be discovered increasing the reasoning capabilities of our knowledge base applications. I...

Presently a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and knowledge base for smart city. In this paper, a system for the ingestion of data for smart city related aspects as road...

There are several education and training cases where multi-camera view is a traditional way to work: performing arts and news, medical surgical actions, sport actions, instruments playing, speech training, etc. In most cases, users need to interact with multi camera and multi audiovisual to create among audiovisual segments their own relations and...

The modeling of performing arts metadata is considered one of the most challenging problems, since performances add complexities related to events to the classical cultural heritage descriptors associated to physical objects. The most relevant lacks of the present models are related to the modeling of information connected to performers and perform...

In recent years more and more often, we hear about Big Data and issues related to the management of these huge volume of data, and considering that there is no definitive solution for their storage, querying, analysis. This discipline is in great evolution, multidisciplinary and very complex to be dominated for the several aspects to be addressed:...