I participated in the following research projects:
Design of novel efficient and privacy-preserving federated analytics technique to integrate medical knowledge to support the investigation of brain and gut-brain diseases.
Read moreInvestigation of how graph machine learning and open knowledge graphs can be exploited to analyse protein samples. A collaboration with Biogenity.
Design of big data stream processing techniques in the context of: (i) privacy-preserving online analysis of an online TV platform, and (ii) transformation of radioastronomy signals in images.
Read moreParticipation in a study on the effects of artificial intelligence on the society by a multi-disciplinary perspective: education, ethics, law, media and technology.
Read moreCollaboration for the development of a goal based requirements engineering language for "Platform as a Service" solutions (IRENE) and the related editor tool (IRET, Eclipse update site available here), built on the top of the Eclipse IDE.
Read moreStudy of Games with a Purpose to increase the data quality of existent data sources in the context of Smart Cities. Development of Urbanopoly, a mobile game to clean data of a geographical data source (OpenStreetMap).
Read moreAnalysis of application of Linked Data and Semantic Web for the building of knowledge bases in simulation Learning. Development of a knowledge base accessible as service via REST API to store the data about the scenarios used for the training session and the data about the users of the system.
Read moreParticipation in the activities of the Urban Computing use-case: application of Semantic Web techniques in the urban domain; collection, analysis and modelling of data related to cities; design and development of Semantic Web-based applications on the top of the LarKC platform, as traffic predictors and recommender systems.
Read moreConceptualization of anSWERS, a knowledge recommender system involving Semantic Web technologies and analysis of how to apply recommendation techniques in the Web service contex. Design and development of RS4All, a hybrid recommender system for Web services combining collaborative, content-based and knowledge based techniques.
Read moreI contributed in the development of the following software projects:
SihlMill evaluates continuous queries over data streams in a privacy-preserving fashion. It parses SihlQL queries, a fragment of SPARQL compatible with differential-privacy techniques and compiles them in topologies to be executed on top of Flink.
Web siteTripleWave is a framework to publish RDF streams on the Web following the Linked Data principles. Streams can be consumbed following pull- and push-based approaches. TripleWave can be fed with either existing Web (non-RDF) streams or RDF datasets.
Web siteThe XSPARQL query language is an extension of XQuery that introduces two operators to 1) query RDF data sources and 2) format data in RDF (such as RDF/XML and Turtle). I contributed to the project by adding support for SPARQL 1.1 operators.
Web siteECSTASYS gathers tweets related to the event, analyses them and links them to the specific sub-events they refer to. The goal is to improve the experience of local and remote attendees, by exploiting the contents shared on the social networks.
Web siteThis demonstration shows how event managers can have a real time monitor over the fuorisalone event. The application gathers micro-posts from Twitter and Instagram, and perform several analyses over them.
Web siteIRET is a tool that supports IRENE (INDENICA Requirements ElicitatioN mEthod). IRENE is methodology, based on KAOS, to elicit requirements in the context of "Platfrom as a Service" development. IRET is built on the top if Eclipse (EMF/GMF).
Web siteUrbanopoly is a social, mobile and location-based Game with a Purpose designed around the idea of the Monopoly board game. By playing, users solve different tasks such as data cleaning, ranking and gathering.
Web siteUrbanMatch Milano game is a mobile gaming application that joins data linkage and data quality assessment in an urban environment. It introduces a new paradigm to consume and produce location-specific linked data by involving the users.
Web siteRS4All aims at providing users with suggestions about relevant services that may be of their interest, in the context of the SOA4All project. The system creates recommendations by combining service descriptions and user profiles.
Web siteBOTTARI is a service which provides geo and social context information. The service recommends Points of Interest with geo context information for users through augmented reality based on location and view angle of users' smart phones.
Read moreThe Traffc LarKC demo integrates Semantic Web, Machine Learning and Operation Research techniques to predict the traffic conditions in Milan and to compute the most desirable paths that connect two points.
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