It represents the AirQualityObserved subindexes for the city of Berlin.
SALTED:CityLiveabilityIndex:Berlin:SubIndex:AirQualityAnnualMean realtime data represented in JSON format
It represents a kind of Crop as a generic entity. For each kind of crop in SIGPAC data an AgriCrop entity is defined.
SocialMedia:SMAnalysis realtime data represented in JSON format
Weather:WeatherObserved realtime data represented in JSON format
Environment:ElectroMagneticObserved realtime data represented in JSON format
OCF:SoundPressureLevel realtime data represented in JSON_LD format
DCAT-AP:DistributionDCAT-AP realtime data represented in JSON_LD format
It represents the state of bicycle docking stations in the cities of Santander (SmartSantander platform) and Barcelona (Open Data BCN portal).
It represents the status and certain properties (i.e. speed and position) of Santander's urban buses obtained through the Open Data Santander initiative.
It represents a harmonised description of a generic SMCollection made for the Social Media domain. This data type is primarily associated with the process of collection of Social Media posts (primarily Twitter).
It represents the level of electromagnetic field measured by the sensors deployed in the city of Santander through the SmartSantander platform.
Transportation:BikeHireDockingStation realtime data represented in JSON_LD format
It represents the air quality collected by the sensors deployed in the city of Madrid. It represents the amount of CO2 retained by soil and crops in the region of Lorca in Murcia (Spain). The data is collected using LIDAR technology. It represents the air quality collected by sensors deployed in the cities of Santander (SmartSantander platform), Murcia (Smart 5K project), Barcelona (Open Data BCN portal) and Oslo (NILU laboratories). It represents information in NGSI-LD format, sourced from the Madrid city Open Portal and European Open Portal, focusing on air pollutant data for the cities of Madrid and Dublin.
Transportation:TrafficFlowObserved realtime data represented in JSON_LD format
OCF:SoundPressureLevel realtime data represented in JSON format
It represents a harmonised description of a generic SMUser made for the Social Media domain. This data type is primarily associated with the description of a user of Social Media applications.
It represents the traffic observed data aggregated for the city of Madrid.
Building:Building realtime data represented in JSON format
Transportation:FleetVehicleStatus realtime data represented in JSON_LD format
It represents the data quality dimensions concerning different types of data.
Weather:WeatherObserved realtime data represented in JSON_LD format
Agrifood:AgriParcel realtime data represented in JSON_LD format
Environment:ElectroMagneticObserved realtime data represented in JSON_LD format
KeyPerformanceIndicator:KeyPerformanceIndicator realtime data represented in JSON_LD format
It represents the AirQualityObserved subindexes for the city of Madrid.
KeyPerformanceIndicator:KeyPerformanceIndicator realtime data represented in JSON format
SALTED:TrafficObservedDistrictLevel realtime data represented in JSON_LD format
DCAT-AP:DataServiceRun realtime data represented in JSON_LD format
SALTED:CityLiveabilityIndex:Madrid:SubIndex:AirQualityAnnualMean realtime data represented in JSON_LD format
Building:Building realtime data represented in JSON_LD format
Organization:Organization realtime data represented in JSON_LD format
Environment:AirQualityObserved realtime data represented in JSON format
It represents the AirQualityObserved indexes for the city of Madrid.
Environment:AirQualityObserved realtime data represented in JSON_LD format
SALTED:CityLiveabilityIndex:Madrid:SubIndex:AirQualityAnnualMean realtime data represented in JSON format
DCAT-AP:DataServiceRun realtime data represented in JSON format
It represents the parcel defined on SIGPAC Spanish Goverment Register on the region of Lorca in Murcia. It has relationship with the AirQualityObserved entities for CO2 data and with AgriCrop entities for the kind of Crop used in the parcel.
SocialMedia:SMPost realtime data represented in JSON format
Transportation:BikeHireDockingStation realtime data represented in JSON format
It represents the AirQualityObserved indexes for the city of Berlin.
DataQuality:DataQualityAssessment realtime data represented in JSON_LD format
AgendaAnalytics is a use case for Linked Data and AI within the SALTED project. It strives to measure the adherence of a an organization (like a company or city) to a given agenda (like development or compliance goals). The congruence between the organization’s publications and the agenda is computed using NLP techniques. The dataset relevant for the use case consists of 5 entity types: Organization, KeyPerformanceIndicator, DistributionDCAT-AP, DataServiceDCAT-AP, DataServiceRun. The full documentation is available at: https://salted-project.eu/ The Key Performance Indicator (KPI) is a performance measurement. Within the AgendaAnalytics use case it showcases / aggregates the raw matching scores obtained from a specific run (entity type DataServiceRun) of the the AgendaMatching service (entity type DataServiceDCAT-AP).
SocialMedia:SMCollection realtime data represented in JSON_LD format
DCAT-AP:DataServiceDCAT-AP realtime data represented in JSON format
SocialMedia:SMUser realtime data represented in JSON format
AgendaAnalytics is a use case for Linked Data and AI within the SALTED project. It strives to measure the adherence of a an organization (like a company or city) to a given agenda (like development or compliance goals). The congruence between the organization’s publications and the agenda is computed using NLP techniques. The dataset relevant for the use case consists of 5 entity types: Organization, KeyPerformanceIndicator, DistributionDCAT-AP, DataServiceDCAT-AP, DataServiceRun. The full documentation is available at: https://salted-project.eu/ The DataServiceDCAT-AP represents a specific service that handles data. Within the AgendaAnalytics use case it is used to represent the data handling services, e.g. the AgendaMatching service and the Crawling service, containing for instance the provider and possible configuration options.
SALTED:TrafficObserved realtime data represented in JSON format
It represents the ambient temperature measured by the sensors deployed in the city of Santander through the SmartSantander platform.
Organization:Organization realtime data represented in JSON format
EnergyCIM:Temperature realtime data represented in JSON_LD format
SALTED:CityLiveabilityIndex:Madrid:Index:AirQualityAnnualMean realtime data represented in JSON_LD format
Transportation:FleetVehicleStatus realtime data represented in JSON format
It represents the state of the parking spots in the city of Santander. The measurements are obtained through the SmartSantander platform and the LoRa network deployed within the city and connected to TTN (The Things Network).
AgendaAnalytics is a use case for Linked Data and AI within the SALTED project. It strives to measure the adherence of a an organization (like a company or city) to a given agenda (like development or compliance goals). The congruence between the organization’s publications and the agenda is computed using NLP techniques. The dataset relevant for the use case consists of 5 entity types: Organization, KeyPerformanceIndicator, DistributionDCAT-AP, DataServiceDCAT-AP, DataServiceRun. The full documentation is available at: https://salted-project.eu/ A Distribution represents an instance of an item. Within the AgendaAnalytics use case a Distribution is used to represent each Agenda (e.g. SDG, ESG, ...) of interest, by defining the concrete Agenda structure and texts used in the calculation / analysis.
Battery:BatteryStatus realtime data represented in JSON format
SocialMedia:SMCollection realtime data represented in JSON format
DataQuality:DataQualityAssessment realtime data represented in JSON format
It represents the traffic observed in the cities of Berlin (Germany) and Madrid (Spain).
SocialMedia:SMAnalysis realtime data represented in JSON_LD format
EnergyCIM:Temperature realtime data represented in JSON format
SALTED:CityLiveabilityIndex:Berlin:SubIndex:AirQualityAnnualMean realtime data represented in JSON_LD format
It represents a harmonised description of a generic SMPost made for the Social Media domain.
AgendaAnalytics is a use case for Linked Data and AI within the SALTED project. It strives to measure the adherence of a an organization (like a company or city) to a given agenda (like development or compliance goals). The congruence between the organization’s publications and the agenda is computed using NLP techniques. The dataset relevant for the use case consists of 5 entity types: Organization, KeyPerformanceIndicator, DistributionDCAT-AP, DataServiceDCAT-AP, DataServiceRun. The full documentation is available at: https://salted-project.eu/ The DataServiceRun represents a specific run of the corresponding DataService (entity type DataServiceDCAT-AP). Within the AgendaAnalytics use case it is used to transparently persist the process of obtaining data for each Organization. E.g.: Each time data gets crawled for an Organization, the run of the Crawling service will be persisted as entity containing for instance the timestamp, parameters, inputs and outputs.
SALTED:TrafficObservedDistrictLevel realtime data represented in JSON format
Agrifood:AgriParcel realtime data represented in JSON format
Battery:BatteryStatus realtime data represented in JSON_LD format
Parking:ParkingSpot realtime data represented in JSON format
DCAT-AP:DataServiceDCAT-AP realtime data represented in JSON_LD format
SALTED:CityLiveabilityIndex:Madrid:Index:AirQualityAnnualMean realtime data represented in JSON format
AgendaAnalytics is a use case for Linked Data and AI within the SALTED project. It strives to measure the adherence of a an organization (like a company or city) to a given agenda (like development or compliance goals). The congruence between the organization’s publications and the agenda is computed using NLP techniques. The dataset relevant for the use case consists of 5 entity types: Organization, KeyPerformanceIndicator, DistributionDCAT-AP, DataServiceDCAT-AP, DataServiceRun. The full documentation is available at: https://salted-project.eu/ An Organization represents an entity such as a school, NGO, corporation, club, etc. Within the AgendaAnalytics use case it is the base for any calculation / analysis.
It representes the building indexes for the cities of Berlin (Germany) and Madrid (Spain).
SALTED:CityLiveabilityIndex:Berlin:Index:AirQualityAnnualMean realtime data represented in JSON_LD format
It represents the weather conditions measured by the sensors deployed in the city of Madrid. This weather conditions includes the wind direction and speed, solar irradiance, relative humidity and temperature, the amount of water rain registered and the atmospheric pressure.
Transportation:TrafficFlowObserved realtime data represented in JSON format
Parking:ParkingSpot realtime data represented in JSON_LD format
It represents the level of acoustic noise collected by the sensors deployed in the city of Santander through the SmartSantander platform.
SALTED:TrafficObserved realtime data represented in JSON_LD format
Agrifood:AgriCrop realtime data represented in JSON_LD format
DCAT-AP:DistributionDCAT-AP realtime data represented in JSON format
Agrifood:AgriCrop realtime data represented in JSON format
SocialMedia:SMUser realtime data represented in JSON_LD format
SocialMedia:SMPost realtime data represented in JSON_LD format
SALTED:CityLiveabilityIndex:Berlin:Index:AirQualityAnnualMean realtime data represented in JSON format
It represents the battery status of the IoT devices deployed by the city of Santander through the SmartSantander platform.
It represents a harmonised description of a generic SMAnalysis made for the Social Media domain. This type of data is primarily associated with the process of analysis of Social Media applications' posts.
It represents the state of the traffic flow collected by sensors deployed on the streets of the cities of Santander (Open Data Santander), Valencia (Open Data Valencia), Barcelona (Open Data BCN), Bilbao (Bilbao Open Data), Vitoria (Open Data Vitoria) and Oslo (Norwegian Public Roads Administration). It represents the traffic flow and intensity. It operates on the sensors' observed data, deployed in Madrid city.