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

Silvia Dopler; Johannes Scholz

doi:10.25436/E2JS3V

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

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

Abstract

This paper elaborates on the geospatial semantics of Supply Chain Visibility (SCV) and how a Geospatial Knowledge Graph (GeoKG) helps to answer 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 constructed 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.

Originalsprache	Englisch
Titel	Spatial Data Science Symposium 2021 Short Paper Proceedings
Seitenumfang	7
DOIs	https://doi.org/10.25436/E2JS3V
Publikationsstatus	Angenommen/Im Druck - 1 Dez. 2021
Veranstaltung	Spatial Data Science Symposium 2021: Spatial and Temporal Thinking in Data-Driven Methods - Virtuell, Santa Barbara, USA/Vereinigte Staaten Dauer: 13 Dez. 2021 → 14 Dez. 2021 http://sdss2021.spatial-data-science.net/

Konferenz

Konferenz	Spatial Data Science Symposium 2021
Kurztitel	SDSS
Land/Gebiet	USA/Vereinigte Staaten
Ort	Santa Barbara
Zeitraum	13.12.2021 → 14.12.2021
Internetadresse	http://sdss2021.spatial-data-science.net/

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10.25436/E2JS3VLizenz: Nicht angegeben

AGEO Award 2022
Dopler, S. (Empfänger*in), 5 Juli 2022
Auszeichnung

1 Vortrag

Spatial Data Science Symposium 2021
Dopler, S. (Redner*in)
13 Dez. 2021 → 14 Dez. 2021
Aktivität: Gespräch oder Vortrag › Vortrag

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title = "A Prototypical Geospatial Knowledge Graph And Spatio-Temporal Question Answering for Supply Chain Visibility",

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.",

author = "Silvia Dopler and Johannes Scholz",

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doi = "10.25436/E2JS3V",

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N2 - 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.

AB - 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.

U2 - 10.25436/E2JS3V

DO - 10.25436/E2JS3V

M3 - Conference contribution

BT - Spatial Data Science Symposium 2021 Short Paper Proceedings

T2 - Spatial Data Science Symposium 2021

Y2 - 13 December 2021 through 14 December 2021

ER -

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

Abstract

Konferenz

UN SDGs

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Auszeichnungen

AGEO Award 2022

Aktivitäten

Spatial Data Science Symposium 2021

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