Page 135 - Kaleidoscope Academic Conference Proceedings 2022

S2.3 The knowledge graph as the interoperability foundation for an Augmented Reality application:
The case at the Dutch Land Registry*
Alexandra Rowland and Erwin J.A. Folmer (University of Twente & Kadaster, The Netherlands);
Tony Baving (Kadaster, The Netherlands)

The concept of the knowledge graph supports insight to a given context through the provision of
standards-based mechanisms for accessing open and interoperable data. In doing so, the graph uses
the power of the web to integrate data from distributed data sources and make this data available
to end users in a transparent, flexible and application-independent manner, either by simply
displaying data in the browser based on a dereference unique resource identifier or in an
application built using the knowledge graph as the source. With the latter approach, the knowledge
graph remains independent of the applications making use of it as a data source, where the
connection between the graph and the application is achieved through interfaces which are
completely based on open standards, most commonly through the use of a SPARQL endpoint.
Indeed, chatbot applications often make use of the knowledge graph in this way but this paper
aims to present the potential for Augmented Reality (AR) applications to be similarly built using
knowledge graphs. By presenting this potential, this paper will argue that AR applications
exemplify the potential opportunities that fully open, interoperable and standards-based
approaches to data publication, such as the development of knowledge graphs, have and, therefore,
will become key drivers within the organization in the investment of the further development of
the concept of the knowledge graph in the future and improved accessibility of data for end users.

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