\"Offentliche Daten auf die n\"achste Stufe heben -- Vom RESTful Webservice f\"ur Pflanzenschutzmittelregistrierungsdaten zur anwendungsunabh\"angigen Ontologie (erweiterte Version)

TL;DR

This paper presents a system that transforms pesticide registration data into an ontology accessible via a RESTful web service, supporting farmers in applying chemical pesticides safely and efficiently.

Contribution

It introduces an automated process to convert pesticide registration data into an application-independent ontology accessible through a SPARQL endpoint.

Findings

Data is crawled and mapped into an ontology using rmlmapper

The system provides a machine-readable, application-independent data service

Supports decision-making in pesticide application

Abstract

During the application of chemical pesticides, distance requirements have to be considered. However, these have to be determined and considered by the farmer manually. To support the farmer the Pesticide Application Manager (PAM)-Projects were conducted and a decision support system was developed. A part of this system, the distance requirements service was developed at the KTBL. To provide this service, the PAM-prozess is conducted: the pesticide registration data provided via REST-API is crawled, then the data is mapped into an ontology using rmlmapper and made availabe in a machine readable and application-independent form via a SPARQL-Endpoint.