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Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Loki

Land Registry

How does a chatbot help make information from cadastral data sources accessible to citizens? That's what we investigated with Loki.

Last change on 4th of June 2024, at 11:19 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In development

General information

Theme

  • Space and Infrastructure
  • Work
  • Living

Begin date

Field not filled in.

Contact information

https://formulieren.kadaster.nl/contact_kadaster_algoritmeregister

Link to publication website

https://labs.kadaster.nl/cases/loki

Responsible use

Goal and impact

With Loki, we want to show the demonstrated value of a chatbot in retrieving information from our data.

Considerations

Virtual assistants such as Siri, Alexa and the Google Assistant are becoming increasingly popular. In these, the user speaks a question or the question is not typed in. We are also developing the Kadaster Knowledge Graph. This creates all kinds of new insights about how we should present data in the future. We want to investigate how best to present data.

Human intervention

Field not filled in.

Risk management

minimal risk

Legal basis

Section 2a subsection c of the Land Registry Act states: 'an efficient provision of information to the government for the proper performance of public law duties and the fulfilment of statutory obligations by administrative bodies'. In short, we want to make our information available to the widest possible audience. So also to citizens.

Operations

Data

Loki uses public data in the BAG, BRK (Cadastral Map), BRT and WOZ.

Technical design

  1. chatbot framework Rasa
  2. Microsoft Azure's speech-to-text API
  3. Knowledge graph for connecting data from different registries and SPARQL endpoints.

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