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Lynx D5.6 Demonstrator for pilot 2

Authors: Verhoeven, Pieter; Kaltenboeck, Martin; Revenko, Artem; Schauer, Martin; Kruizinga, Eelco; Alberts, Jeroen;

Lynx D5.6 Demonstrator for pilot 2

Abstract

This deliverable constitutes the results on the Lynx use case development for geothermal energy (GTE). Section 1 provides a brief introduction of the geothermal energy context which is used as a proxy for trends and future needs of multiple emerging alternative sustainable energy resources. The grand view that underpins this use case is the applicability of emerging semantic technologies (knowledge graphs) for sustainable energy alternatives as they are subject to accelerated or even a transformative future growth. During this transformation, friction in access to relevant regulatory information can cause delays (or require breakthroughs) which can be solved by the use of knowledge graph technology. Section 2 describes the use case and the progress made in engaging with the industry to learn if problems / issues are recognized and how they can be subject to this use case. It further elaborates on plausible user journeys and mock-ups of screen design that show how Lynx services can interact with the end-user. Section 3 describes the pilot architecture and the current system in place. This section mainly talks about the front-end stack and the backend integration with the Lynx services. In this section the ‘final’ pilot is presented. Section 4 describes a reflection on the development in terms of ‘learning and recommendation’.

Keywords

Lynx pilot, geothermal energy, recommender service

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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