OWFgraph: A graph database for the offshore wind farm domain

Erik Quaeghebeur, Sebastian Sanchez Perez Moreno, Michiel Zaayer

Research output: Contribution to conferenceAbstractScientific

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Abstract

The construction and management of an offshore wind farm involves many disciplines, e.g. meteorology and economics. It is hard for a single researcher to keep an overview of all the relevant concepts, models, and tools from these disciplines. Nevertheless, this is needed when performing integrated modeling or analysis in the offshore wind farm domain. To help researchers keep this overview, we present OWFgraph, a knowledge base for the offshore wind farm domain, implemented as a graph database that is meant to be open and ever-improving.
A graph database stores content in nodes and relationships. A relationship is a directed edge between two nodes. In our implementation, each of the nodes and relationships can have multiple properties, i.e., key-value pairs; moreover, nodes can have multiple labels, whereas relationships have only a single type.
Original languageEnglish
Pages116-116
Number of pages1
Publication statusPublished - 2017
EventWind Energy Science Conference 2017 - Technical University of Denmark, Lyngby Campus, Lyngby, Denmark
Duration: 26 Jun 201729 Jun 2017
Conference number: 1
http://www.wesc2017.org/

Conference

ConferenceWind Energy Science Conference 2017
Abbreviated titleWESC 2017
CountryDenmark
CityLyngby
Period26/06/1729/06/17
Internet address

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