Web Component per un Design System: un caso di studio aziendale

I contenuti e i servizi offerti dal Web hanno subito negli anni una costante e continua evoluzione, dovuti alla maggiore disponibilità di dispositivi in grado di navigarlo. Oggi i requisiti e le aspettative che gli utenti hanno nei confronti delle applicazioni Web sono sempre maggiori, desiderano un accesso ai contenuti sempre più rapido, interfacce semplici e facili da usare, oltre che reattive, e che tali contenuti siano accessibili da una vasta gamma di dispositivi che presentino sempre più funzionalità. Le aziende devono essere pronte a rispondere a queste esigenze e a fornire agli utenti finali la miglior esperienza possibile, rimanendo aggiornati sulle tecnologie per la creazione di applicazioni Web. Questo è ancora più importante per un'azienda possiede più prodotti, sviluppati da team diversi che usano tecnologie diverse. Per alcune aziende è importante che i propri prodotti, sebbene trattino tematiche differenti, si presentino con interfacce che rimandino al proprio marchio, non solo grazie al nome o al logo, quanto più nei componenti utilizzati per creare le interfacce. Succede così che i vari team devono progettare e sviluppare i componenti nella propria tecnologia, in modo che abbiano le stesse funzionalità, stesso stile e stesso comportamento in ogni situazione. Il più delle volte questo è difficile da realizzare e anche costoso da mantenere. Riuscire a centralizzare lo sviluppo di questi elementi in un unico punto aiuta l'azienda a mantenere bassi i costi di manutenzione e a rendere omogenea l'esperienza degli utenti tra i vari prodotti. Obiettivo del lavoro svolto è illustrare le potenzialità e l'utilità fornite dall'introduzione di una suite di componenti personalizzati, seguendo lo standard dei Web Component, all'interno dei prodotti forniti da una grande impresa. L'analisi si concentra sulll'esperienza di chi utilizza tali componenti all'interno dei propri progetti per creare l'interfaccia utente da presentare poi agli utenti finali.

Towards a Smart Campus Digital Twin: Promoting Awareness and Sustainability Through Wayfinding and Real-Time Environmental Data

The newly inaugurated Navile District of the University of Bologna is a complex created along the Navile canal, that now houses various teaching and research activities for the disciplines of Chemistry, Industrial Chemistry, Pharmacy, Biotechnology and Astronomy. A Building Information Modeling system (BIM) gives staff of the Navile campus several ways to monitor buildings in the complex throughout their life cycle, one of which is the ability to access real-time environmental data such as room temperature, humidity, air composition, and more, thereby simplifying operations like finding faults and optimizing environmental resource usage. But smart features at Navile are not only available to the staff: AlmaMap Navile is a web application, whose development is documented in this thesis, that powers the public touch kiosks available throughout the campus, offering maps of the district and indications on how to reach buildings and spaces. Even if these two systems, BIM and AlmaMap, don't seem to have many similarities, they share the common intent of promoting awareness for informed decision making in the campus, and they do it while relying on web standards for communication. This opens up interesting possibilities, and is the idea behind AlmaMap Navile 2.0, an app that interfaces with the BIM system and combines real-time sensor data with a comfort calculation algorithm, giving users the ability not just to ask for directions to a space, but also to see its comfort level in advance and, should they want to, check environmental measurements coming from each sensor in a granular manner. The end result is a first step towards building a smart campus Digital Twin, that can support all the people who are part of the campus life in their daily activities, improving their efficiency and satisfaction, giving them the ability to make informed decisions, and promoting awareness and sustainability.

Benchmarking ’Expressing Without Asserting’ approaches on a large Wikidata dump

Semantic Web technologies provide the means to express the knowledge in a formal and standardized manner, enabling machines to automatically derive meaning from the data. Often this knowledge is uncertain or different degrees of certainty may be assigned to the same statements. This is the case in many fields of study such as in Digital Humanities, Science and Arts. The challenge relies on the fact that our knowledge about the surrounding world is dynamic and may evolve based on new data coming from the latest discoveries. Furthermore we should be able to express conflicting, debated or disputed statements in an efficient, effective and consistent way without the need of asserting them. We call this approach 'Expressing Without Asserting' (EWA). In this work we identify all existing methods that are compatible with actual Semantic Web standards and enable us to express EWA. In our research we were able to prove that existing reification methods such as Named Graphs, Singleton Properties, Wikidata Statements and RDF-Star are the most suitable methods to represent in a reliable way EWA. Next we compare these methods with our own method, namely Conjectures from a quantitative perspective. Our main objective was to put Conjectures into stress tests leveraging enormous datasets created ad hoc using art-related Wikidata dumps and measure the performance in various triplestores in relation with similar concurrent methods. Our experiments show that Conjectures are a formidable tool to express efficiently and effectively EWA. In some cases, Conjectures outperform state of the art methods such as singleton and Rdf-Star exposing their great potential. Is our firm belief that Conjectures represent a suitable solution to EWA issues. Conjectures in their weak form are fully compatible with Semantic Web standards, especially with RDF and SPARQL. Furthermore Conjectures benefit from comprehensive syntax and intuitive semantics that make them easy to learn and adapt.