Semantic Resource Catalogue
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Vocabulary of bathing water types
Bathing water type vocabulary ('coastalBathingWater': coastal bathing waters, 'transitionalBathingWater': Transitional bathing water, 'lakeBathingWater': lake bathing water or 'riverBathingWater': river bathing water) under the Bathing Water Directive
Ontology of life events of farmed animals
This is the ontology of the events of the life of farm animals, The ontology therefore represents important moments in the life of animals such as childbirth, birth, abortion, fertilization, various movements in and out of farms, slaughter, etc. For each event, the ontology represents the main elements that characterize each event.
Vocabulary of the steps of implementation of the interventions
Vocabulary of the steps of the implementation process of interventions for soil protection
Ontology of Laboratory Analysis
This is the ontology used to model the data that in the LEO project are called LabData. In some cases the ontology can be used for so-called HealthData or health data but when these are understood as proprietary observations with certain values
Ontology of farm animals
This is the breeding animal ontology of the LEO project. In particular, it includes all data representing the register of farmed animals. In ontology, some properties derive not only from the systems of AIA (Italian Breeders' Association) but also, through application cooperation, from the BDN - National Database of the register of farmed animals. Within the LEO project, the data represented in this ontology are called FieldData.
Ontology on the Farm Description
This is the ontology that allows you to describe a farm under different sizes: management, health, nutrition, environment. In particular, the ontology allows you to model all the data related to a questionnaire that companies fill in the si@llEvA system regarding their breeding. In the context of the zootechnical domain, these data refer to the so-called 'breeding configurator'
Italian environmental application profile - Ontology INSPIRE-MF
The INSPIRE-MF module models the INSPIRE data model segment on Environmental Monitoring Facilities. In particular, the ontological module represents instance objects of the MonitoringObject class in the different possible alternatives, such as MonitoringFacility and MonitoringNetwork. In addition to environmental monitoring platforms, the relevant monitoring networks, observations/sampling and associated collections, sensors, observation parameters, procedures, values, etc. are described. Classes and properties are also modeled to represent indicators and indicator collections (e.g. the geographical characterization of the'indicator can be delegated to the indicator collection). Observation/sampling series (ObservationSeries/SamplingSeries) have been described and can be used as a grouping criterion (e.g. for observations obtained at the same location and over the same time period). The module is inspired by SSN and SOSA ontologies (extending them in some cases, e.g. if you want to use ObservationSeries) and ontology on OntoPiA's'Internet of Things (IoT), directly imports the TOP module and is aligned through appropriate OWL files (https://github.com/isprambiente/data-semantic/tree/main/assets/ontologies/inspire-mf/latest) with SSN/SOSA and OntoPiA alignment axioms.
Ontology of Functional Controls on Milk
This is the ontology used to model the data related to the functional controls carried out in the zootechnical field. The data is collected in the context of the LEO - Livestock Environment Open Data project. In particular, the SIALL national system, in response to the acquisition of functional control data, in particular when the control is closed and the pre-print is issued, communicates to the LEO project in application cooperation a series of calculated measures linked to the detection of milk on the individual subject.
Italian environmental application profile - Ontologia PLACE
The PLACE module extends the TOP module by adding classes and properties that describe in more detail the places and each georeferenced entity both physically and administratively. As a result, these classes are modelled as subclasses of Location (defined in the TOP module) via l'use of'axiom rdfs:subClassOf. Similarly, the TOP module is extended by modeling a whole series of properties (ex. hasAdministrativeUnit, hasCountry, etc...) as sub-properties of the object property of the TOP hasLocation module via l'use of'axiom rdfs:subPropertyOf. The module is aligned (https://github.com/isprambiente/dati-semantic/tree/main/assets/ontologies/place/latest) to GeoSPARQL and OntoPiA.
Ontology of Milking Efficiency Checks
This is the ontology used to model milking efficiency data (including plant controls). The data is collected in the context of the LEO - Livestock Environment Open Data project. The data shall include dynamic milking controls at the level of farm statistics and at the level of individual individual parameters linked to the individual milking of animals, which shall also vary according to the different instruments used. In addition, the controls involve the setting parameters of the milking plant buttons and vacuum drop tests.
Lactation Ontology
This is the ontology used to model data on lactation controls carried out in the livestock sector. The data is collected in the context of the LEO - Livestock Environment Open Data project. In particular, the SIALL system collects information on lactation for both dairy and meat-bearing animals when functional control data are collected when birth events and late abortion are detected. Among this information there is also the order of childbirth through which the primiparous and pluriparous are categorized at zootechnical level. Information on the estimation of actual production (milk, fat and protein) and the estimation of conventional milk, i.e. milk produced at a standard lactation length, shall be provided for dairy farmers; if the calculation of actual and conventional production is abnormal compared to the AIA standard, the lactation has notes
Single access point to the LEO project network of ontologies
This is the main ontology, access point to the network of ontologies of the Italian zootechnical environment developed in the context of the LEO project.