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Zweifeln erlaubt! Modellierung von Vagheit im Graphen am Beispiel des KonGeoS-Netzwerks

Authors: Thiery, Florian;

Zweifeln erlaubt! Modellierung von Vagheit im Graphen am Beispiel des KonGeoS-Netzwerks

Abstract

Die Modellierung von Daten in relationalen Strukturen ist uns als Geodäten all gegenwärtig, z.B. nutzen wir PostGIS und Geoserver zum Teilen von Geodaten über das World Wide Web. In modernen Web Apps sind heute jedoch NoSQL Datenbanken weit verbreitet, welche zum Beispiel dokumentenorientiert (z.B. MongoDB) oder graphbasiert (z.B. Neo4j) sein können. Kantengewichtete Graphen sind in der Geoinformatik insbesondere im Bereich der Navigationssysteme durch den Dijkstra-Algorithmus bekannt. Zur interoperablen und semantischen Datenmodellierung sind aber auch gerichtete kantengefärbte Graphen nach den Prinzipien der Linked Data in RDF-Strukturen verbreitet (z.B. GeoSPARQL, Wikidata, LinkedGeoData). Eine besondere Herausforderung ist hierbei die Modellierung von Unsicherheit/Vagheit im Graphen und einem daraus resultierenden Reasoning. Der Vortrag gibt einen Einblick in das Academic Meta Tool, ein Web Tool zur Modellierung + Reasoning von Vagheit im Graphen am Beispiel des KonGeoS-Netzwerks.

Keywords

Linked Data, https://www.wikidata.org/wiki/Q25377651, Zweifel, Vagheit, https://www.wikidata.org/wiki/Q515701, KonGeoS, Netzwerk, RDF

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citations
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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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