A Prototypical Geospatial Knowledge Graph And Spatio-Temporal Question Answering for Supply Chain Visibility

Silvia Dopler, Johannes Scholz

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

This paper elaborates on the geospatial semantics of Supply Chain Visibility (SCV) and how a Geospatial Knowledge Graph (GeoKG) helps answering spatio-temporal questions related to the supply chain. An ontology is developed to provide a generic semantic model for the SCV domain, based on existing ontologies and ontology design patterns. Secondly, an early-stage GeoKG is generated in a GeoSPARQL-enabled semantic triplestore to demonstrate the spatio-temporal querying capability. The focus of this work is on the semantic representation of spatio-temporal trajectories of material flow as this is the central aspect of SCV.
Original languageEnglish
Title of host publicationSpatial Data Science Symposium 2021 Short Paper Proceedings
Number of pages7
DOIs
Publication statusAccepted/In press - 1 Dec 2021
EventSpatial Data Science Symposium 2021: Spatial and Temporal Thinking in Data-Driven Methods - Virtuell, Santa Barbara, United States
Duration: 13 Dec 202114 Dec 2021
http://sdss2021.spatial-data-science.net/

Conference

ConferenceSpatial Data Science Symposium 2021
Abbreviated titleSDSS
Country/TerritoryUnited States
CitySanta Barbara
Period13.12.202114.12.2021
Internet address

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