- Assistive and Social Robotics
- Common Sense
- Cultural heritage
- Fishery
- Food
- Natural language
- Public Administration
- Research organization
- Scholarly
- Smart Cities
Assistive and Social Robotics
Mario ontology network
Ontologies
Action ontology
Activity ontology
Affordance ontology
Calling ontology
Capability assessment ontology
Clinical act ontology
Cohabitation status ontology
Comprehensive geriatric assessment ontology
Cumulative illness rating scale ontology
Drinking ontology
Eating ontology
Emotional sphere ontology
Emotional state ontology
Environment ontology
Ess ontology
Event ontology
Generic ontology
Health role ontology
Health sphere ontology
House environment ontology
Language ontology
Life events ontology
Mario ontology
Marioception ontology
Measurement ontology
Medication use ontology
Mini Nutritional Assessment ontology
Multimedia content ontology
Music ontology
Online account ontology
Open knowledge ontology
Person ontology
Personal sphere ontology
Playing Ontology
Postal address ontology
Prov ontology
Provenance ontology
Reconciliation ontology
Regulatory sphere ontology
Service ontology
Social and multimedia ontology
Spatial ontology
Spatiotemporal ontology
Short portable mental status questionaire ontology
Tagging ontology
Time ontology
Time indexed relationship ontology
Time indexed situation ontology
Vital signs ontology
Chatting ontology
Datasets
Common Sense
FOX
An empirically-grounded foundational ontology aimed at providing machines with the common sense knowledge used everyday by humans.
Ontologies
FOX Metamodel
Datasets
Fox Dataset
The datasets constituting the foundational ontology of common sense are provided in RDF format and released under license CC-BY 4.0.
Cultural heritage
ArCo
ArCo is an initiative of the ICCD (Istituto Centrale per il Catalogo e la Documentazione) and the CNR (Italian National Research Council), as part of the project dati.beniculturali.it, for cultural heritage enhancement through the publication of LOD. ArCo aims at making available data from the Catalogo generale dei beni culturali following the paradigm of the Linked Data initiative, in an open format, in order to ensure accessibility to users and interoperability. The main activities of the project will include: the definition of a network of ontologies for representing the informations contained in the general catalogue, in relation to different types of cultural objects, taking into account the actual ICCD standards the publication of the data processed in the SiGeC (Sistema Generale del Catalogo, following the Linked Open Data principles, to populate the MiBACT SDL (semantic digital library). the building of a constant dialogue and a cooperation with private and public actors, who want to be early adopters. All releases of the project will be published on GitHub.
Here the first unstable release of ArCo: version 0.1 alpha.
Ontologies
Denotative Description
Catalogue
Cultural events
Location
Context Description
Core Ontology
Datasets
ArCo Dataset
Cultural Heritage
The project aims at identifying and providing technical solutions, based on standards of the Semantic Web, to enable the integration and rationalisation of MiBACT's data sources related to cultural heritage. To improve availability and reusability of the information assets owned by MiBACT, and to promote open government principles as well, the project started from the so-called DB Unico 2.0 registry, currently available as Open Data of level 3, by opening its content according to the design principles and recommendations of the Italian guidelines on "Semantic interoperability through Linked Open Data" and the W3C Linked Open Data best practices.
Ontologies
Cultural heritage ontology
The main activities of the project included
- Definition of an OWL ontology for representing the information related to cultural institutes or sites (e.g., museums, historical archives, libraries, monuments, archaeological sites, etc.) and cultural events (e.g., exhibitions, seminars, conferences, etc.). The ontology aims at modelling cultural institutes or sites and all the data that can characterise them. Examples of data are: agents that act on a cultural institute or site, sites, contact points, the multimedia material describing the cultural institute or site, the services and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites, modelling all the data regarding possible tickets required to access to the event.
- Automated extraction of the data from DB Unico 2.0 by means of D2R.
- Production of the RDF dataset (and the related metadata) by following the Linked Open Data principles.
Datasets
Fishery
Mare
Conceived by the Directorate-General for Maritime Affairs and Fisheries (DG MARE) of the European Commission, the project focuses on the establishment of a single information system for fishery and aquaculture products marketed in the European Union. The information system, available as a fully operational multilingual prototype, aims at providing different stakeholders (consumers, producers, fishmongers, processors, importers, retailers, control authorities and other interested parties) with heterogeneous information related to commercial designations of fishery and aquaculture products put on the market in the EU Member States. MARE combines a solid taxonomic and nomenclatural backbone for aquatic species and their scientific names with commercial designations published by each Member State's national authorities in accordance with EU regulations. This core information is complemented with heterogeneous data that include, among the others, production methods, fishing gears, fishing areas, marketing standards, quality certification schemes, fishing opportunities and species distribution.
In the context of the MARE project, STLab has defined a modular ontology and produced a corresponding dataset for representing heterogeneous information about fishery and aquaculture products. Dealing with the complexity of the fishery domain and the heterogeneity of the available data sources requires the adoption of a well-designed, consolidated methodology, with the aim of obtaining open, interoperable and reusable models and data.
To favor semantic interoperability and reuse, the MARE ontology exploits well-established ontology design patterns and was designed following a modular approach. In particular, the information about aquatic species marketed in the European Union is structured in three interconnected modules, each focusing on a specific informational dimension or perspective. The identified ontology modules include:
- Mare Taxa, which focuses on taxonomic and nomenclatural data for aquatic organisms, such as taxonomic names, synonyms, taxonomic ranks, hierarchical classification, etc.
- Mare, which focuses on data related to commercial and legal requirements, such as commercial designations in the EU Member States, production methods and fishing gears, marketing standards, fishing quotas, nutrition facts, etc.
- Mare Geo, which focuses on geographical data related to aquatic organisms, such as major fishing areas, species distribution maps, etc.
Following the Semantic Web standars and principles, MARE ontology modules and core concepts are aligned to existing external authoritative ontologies available on the Web, so as to enable semantic interoperability and data linking.
Ontologies
Mare ontology
Mare taxonomic classification ontology
Mare geographical ontology
Datasets
Food
Food
The FOOD (FOod in Open Data) project defines and makes available standardization models and reference ontologies for representing food quality certification schemes, in accordance with product specifications defined by the Italian Ministry of Agricultural, Food and Forestry Policies. FOOD focuses on the semantic representation of the information and prodution rules set out in the product specifications for agri-food products and their quality designations, including Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) schemes.
Ontologies
Food ontology
The design of reference ontologies and the production of open data have been the core activities in the FOOD project. Specifications for agri-food products and their quality designations have driven the definition of a set of OWL ontologies. The ontologies model both quality certification schemes (PDO and PGI) and product categories (e.g., wine, cheese, meat, fruit, etc...) belonging to these certification schemes. Automated and manual data extraction techniques were used to produce RDF datasets (and related metadata) for the defined ontologies, in accordance with the Linked Open Data paradigm. The designed ontologies rely on design patterns and reuse existing ontologies (e.g., AGROVOC); the corresponding datasets are linked to and aligned with datasets available in the Web of Data (e.g., DBpedia, SPCData).
Bread ontology
Cereal ontology
Cheese ontology
Essential oil ontology
Fish ontology
Fresh meat ontology
Fruit ontology
Honey ontology
Liquorice ontology
Mollusc ontology
Oil ontology
Pasta ontology
Ricotta ontology
Saffron ontology
Salt ontology
Salumi ontology
Sweet ontology
Vegetable ontology
Vinegar ontology
Wine ontology
Datasets
Food dataset
Natural language
Framester
Framester is a hub between FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, as well as other resources. Framester does not simply creates a strongly connected knowledge graph, but also applies a rigorous formal treatment for Fillmore's frame semantics, enabling full-fledged OWL querying and reasoning on the created joint frame-based knowledge graph.
Ontologies
Framester ontology
Datasets
Framester dataset
Public Administration
OntoPiA
Enhancing Open Data to Linked Open Data is challenging especially in case of Big Data. Providing an effective breakthrough to this challenge in the context of data coming from the Italian Public Administration (PA) is the objective of this project, which is co-founded by Italian Digital Transformation Team (https://teamdigitale.governo.it/en/) and STLab. STLab is contributing to the project by designing a modular and high-scalable Ontology Network called OntoPiA.
http://stlab.istc.cnr.it/stlab/project/team-digitale/
Ontologies
IoT Events - Eventi IoT
People - Persone
Organizations - Organizzazioni
Addresses/Locations - Indirizzi/Luoghi -
Internet and Social Media
Time - Tempo
Points of Interest - Punti di interesse
Accommodation Facilities - Strutture Ricettive
Measurement Unit - Unità Di Misura
Prices/Offers and Tickets - Prezzi Offerte e Biglietti
Roles - Ruoli
Public Events - Eventi Pubblici
Car Parks - Parcheggi
Italian Application Profile - Asset Description Metadata Schema
Livello 0 - Level 0
Datasets
Research organization
Data.cnr
data.cnr.it is an initiative of the Italian National Research Council (CNR) aimed at providing an Open Data platform to enable public access to the information of the CNR organization. The platform is designed by the Semantic Technology Laboratory (STLab), which includes researchers and engineers from the Information Systems Office (SI), and the Institute of Cognitive Sciences and Technologies (ISTC).
Ontologies
Data.cnr ontology
The produced OWL ontologies and corresponding datasets model and provide access to heterogeneous, detailed information about the Italian National Research Council's structure and activities, such as people, departments/units, research activities, results and publications.
Datasets
Data.cnr dataset
The data available here is an RDF dump of some of the databanks of CNR.
Scholarly
Scholarlydata
Ontologies
Core ontology
The conference-ontology is a new self-contained ontology for modelleing knowledge about conferences. The conference-ontology adopts best ontology design practices (e.g., Ontology Design Patterns, ontology reuse and interlinking) and guarantees interoperability with SWC ontology and all other pertinent vocabularies.
Alignments to other scholarly vocabularies
This ontology provides alignments between the core ontology of scholarly data and other ontologies or vocabularies that model knowledge within the domain of scholarly publications.
Datasets
Scholarlydata.org
Scholarlydata dataset is a refactoring of the Semantic Web Dog Food (SWDF), in an effort to keep the dataset growing in good health. We use a novel data model, the conference-ontology, which improves the Semantic Web Conference Ontology, adopting best ontology design practices.
All the current data can be accessed in different formats (i.e., HTML, RDF/XML, Turtle, N-TRIPLES, and JSON-LD) via URI dereferencing, queried via SPARQL or downloaded as single RDF dumps for each conference and workshop.
Smart Cities
PRISMA
PRISMA (PiattafoRme cloud Interoperabili per SMArt-government) is an industrial research project with the aim of providing Public Administrations with an innovative open-source cloud computing platform. The designed cloud platform addresses the specific needs and requirements of Public Administrations, in order to support advanced interoperable services, improve data and process management activities in urban environments, and foster the definition and adoption of new business models. PRISMA can be positioned in the broader context of Smart Cities and Smart Communities, and specifically targets e-Government, e-Health and e-Seismic use cases, with the goal of bringing together cities, industries and citizens to improve urban life through more sustainable integrated solutions.
Ontologies
Prisma ontology
The ontology defining the core classes and properties from the LOD system developed in the project PRISMA for the Municipality of Catania.
Datasets
PRISMA Linked Open Data
Linked Open data of the Semantic Technologies Laboratory 
of the Institute of Cognitive Sciences and Technologies of the Italian National Research Council , developed in the context of the PRISMA project (PlatfoRms Interoperable cloud for SMArt-government).