This project involves developing a solution to collect information and metadata about sensors from an Excel file, transform it into SensorML and TTL (following the SOSA and SSN ontologies using R functions), and then translate them into HTML landing pages using XSLT. The system considers type, component type, and instance.
The implementation adheres to the SOSA ontology main version as specified in SOSA/SSN ontology documentation from 2017 and the new draft version from February 2024.
The proposed work is also compliant with the PIDINST schema, and through this compliance, it aligns with the DataCite Metadata Schema 4.4 (mapping available here)).
An example of using SensorML with the PIDINST schema can be found here.
library(magrittr)
source("info.R")
# info.R is not provided trough this repo because contains the password of services
source("check_man_exist.R")
source("sensors2SensorML/sensors_catalogue.R")
source("SensorML2TTL/sensorML_type_rdf.R")
-
Fill the
sensors_template.xlsxspreadsheet, including the manufacturer sheet. If the desired manufacturer is not present in the list, add the required information filling the sheetnew_manufacturer. -
Use the
sensors_catalogue()function to obtain the SensorML XML and TTL for the system and, if applicable, for the components of all the sensors described in thesensors_template.xlsxspreadsheet;
sensors_catalogue(excel_path = "./sensors.xlsx")
The output files for each sensors described in the sensors_template.xlsx spreadsheet are stored in a folder named using the convention <sensorML_files_system_UUID>. Each folder contains the following:
- An XML file for the system in the
systemfolder - XML files for each system component, if any, in the
componentsfolder - TTL files for both the system and components, if any, in the
system_components_files_ttlfolder - A copy of the system datasheet, if provided, in the
datasheetfolder - A copy of the system image, if provided, in the
imagefolder
The complete process is illustrated in the figure:
