Reducing nitrogen emissions and soil pollution are important environmental issues. Many local and regional authorities in the Netherlands need data that provides insight into the current situation in their management area. However, this data is not always available in a structured way. Within these government organizations there are innumerable documents in which the requested data is implicitly included. How do you extract the data from those documents? And how do you determine which documents are relevant at all in this process?
Geonizer™ is Bolesian’s solution for extracting geo-data from documents and making information accessible based on location. With Semantizer™ you can easily analyze and structure large quantities of unstructured information.
Commissioned by the province of Gelderland, Semantizer and Geonizer were used to process a bulk of unknown documents. Within this bulk of unstructured data, Semantizer was specifically looking for documents about soil remediation, livestock permits and agricultural subsidies. Semantizer analyzes the content of the documents, classifies the subject of the document and extracts relevant data from the document based on the subject. Meanwhile Geonizer extracted location specific references and provided easy access to all data based on location.