Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation
This paper introduces a prospective study of the potential of spatio-temporal graphs (ST-graphs) and knowledge graphs (K-graphs) for the modelling of geographical phenomena. While the integration of time within GIS has long been a domain of major interest, alternative modelling and data manipulation...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/8/541 |
| _version_ | 1797523635073712128 |
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| author | Géraldine Del Mondo Peng Peng Jérôme Gensel Christophe Claramunt Feng Lu |
| author_facet | Géraldine Del Mondo Peng Peng Jérôme Gensel Christophe Claramunt Feng Lu |
| author_sort | Géraldine Del Mondo |
| collection | DOAJ |
| description | This paper introduces a prospective study of the potential of spatio-temporal graphs (ST-graphs) and knowledge graphs (K-graphs) for the modelling of geographical phenomena. While the integration of time within GIS has long been a domain of major interest, alternative modelling and data manipulation approaches derived from graph and knowledge-based principles provide many opportunities for many application domains. We first survey graph principles and how they have been applied to GIS and a few representative domains to date. A comprehensive analysis of the principles behind K-graphs, respective data representation and manipulation capabilities is discussed. The perspectives offered by a close integration of ST-graphs and K-graphs are explored. The whole approach is illustrated and discussed in the context of maritime transportation. |
| first_indexed | 2024-03-10T08:45:50Z |
| format | Article |
| id | doaj.art-5fd016bb4ef54ec0bed175ddcb7bed1e |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T08:45:50Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-5fd016bb4ef54ec0bed175ddcb7bed1e2023-11-22T07:53:25ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-08-0110854110.3390/ijgi10080541Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime TransportationGéraldine Del Mondo0Peng Peng1Jérôme Gensel2Christophe Claramunt3Feng Lu4Laboratory of Computer Science, Information Processing and Systems (LITIS), INSA Rouen, Normandie Université, 76800 Rouen, FranceState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100864, ChinaGrenoble Informatcs Laboratory (LIG), Université Grenoble Alpes, 38400 Grenoble, FranceState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100864, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100864, ChinaThis paper introduces a prospective study of the potential of spatio-temporal graphs (ST-graphs) and knowledge graphs (K-graphs) for the modelling of geographical phenomena. While the integration of time within GIS has long been a domain of major interest, alternative modelling and data manipulation approaches derived from graph and knowledge-based principles provide many opportunities for many application domains. We first survey graph principles and how they have been applied to GIS and a few representative domains to date. A comprehensive analysis of the principles behind K-graphs, respective data representation and manipulation capabilities is discussed. The perspectives offered by a close integration of ST-graphs and K-graphs are explored. The whole approach is illustrated and discussed in the context of maritime transportation.https://www.mdpi.com/2220-9964/10/8/541graphsspatio-temporalknowledge graphsmaritime transportation |
| spellingShingle | Géraldine Del Mondo Peng Peng Jérôme Gensel Christophe Claramunt Feng Lu Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation ISPRS International Journal of Geo-Information graphs spatio-temporal knowledge graphs maritime transportation |
| title | Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation |
| title_full | Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation |
| title_fullStr | Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation |
| title_full_unstemmed | Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation |
| title_short | Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation |
| title_sort | leveraging spatio temporal graphs and knowledge graphs perspectives in the field of maritime transportation |
| topic | graphs spatio-temporal knowledge graphs maritime transportation |
| url | https://www.mdpi.com/2220-9964/10/8/541 |
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