MOTHIA implements an approach to support the validation of domain models, by reducing the knowledge gap that separates modeling experts and domain experts.

As a natural consequence of multi-disciplinary research and the strong requirement of immediate access to digital information, research communities manifested the need to cross-operate over content from several possibly heterogeneous and autonomous data sources. Such a demand brought in a novel class of software systems, called aggregative data infrastructures, whose aim is to address the specific data collection, processing, and consumption needs of the community. The D-Net Software Toolkit was designed and developed with the specific purpose of supporting developers with a framework that minimizes their development and maintenance cost of an aggregative data infrastructure. D-NET supports a service-oriented infrastructure (SOI) system where customizability, openness, sharing, reuse and orchestration of the given services enable sustainable patterns of ADLS realization and maintenance. Organizations can download and install the selection of D-NET service components required to construct their intended data infrastructure. D-Net has been adopted by national aggregators (Recolecta, Spain: https://buscador.recolecta.fecyt.es/; CeON, Poland: http://agregator.ceon.pl/) and thematic infrastructures (Film archives: EFG, https://europeanfilmgateway.eu/; Cultural Heritage: HOPE https://www.socialhistoryportal.org/collections, Europeana https://www.europeana.eu/it; Epigraphy studies: EAGLE https://www.eagle-network.eu/; Scholarly Communication: OpenAIRE https://explore.openaire.eu).

A Python software package that allows to describe, simulate, and study diffusion processes on complex networks.

TARE is an environment for the creation of personalization rules in environments that exploit Internet of Things technologies by people who are not experts in programming; several hundred rules have already been created with this tool.

MAUVE++ (Multiguideline Accessibility and Usability Validation Environment) is a system to evaluate accessibility of websites by checking their HTML and CSS code through guidelines. It provides validation results for different types of stakeholders, and supports validation of W3C WCAG 2.1 guidelines.

The ConcurTaskTrees Environment (CTTE) is an environment for editing and analysis of task models useful to support understanding and design of interactive applications by focusing on the human activities to support.

The VCGlib is a complex, stable, industrial level library for performing a wide variety of advanced mesh processing tasks in a very efficient way. The VCGLib and many portions of it have been commercially licensed to various companies for use in closed source products.

The development of innovative efficient visualization techniques has been one of the research lines of the Visual Computing lab. Many of these results ended in interactive visualization tools and libraries. Currently one of the most important tools is 3DHOP, a customizable web based viewer for 3D assets that has been adopted by many institutions and online museums for interactively presenting 3D models. Distributed as an open source resource, it includes manuals and how-to resources.

Nexus is a multiresolution rendering and compression library to support interactive streaming and visualization of huge 3D models.

MI-File (Metric Inverted File) supports approximate similarity search on huge datasets. As an example give a look at the Image Similarity Search Engine (mifile.deepfeatures.org), which allows you searching in a dataset of more than 100 millions images, that was built using the MI-File library. The technique is based on the use of a space transformation where data objects are represented by ordered sequences of reference objects. The sequence of reference objects that represent a data object is ordered according to the distance of the reference objects from the data object being represented. Distance between two data objects is measured by computing the Spearmann footrule distance between the two sequence of reference objects that represent them. The closer the two data objects, the most similar the two sequences of reference objects. The index is based on the use of inverted files.

This Python (v.2.7.10) code provides an estimate of the 3D structure of the chromatin fibre in cell nuclei from the contact frequency data produced by a ’Chromosome conformation capture’ experiment. The only input required is a text file containing a general real matrix of contact frequencies. The code features a GUI where all the tunable parameters are made available to the user. The fibre is divided in independent segments whose structures are first estimated separately and then modelled as single elements of a lower-resolution fibre, which is treated iteratively in the same way until it cannot be divided anymore into independent segments. The full-resolution chain is then reconstructed by another iterative procedure.