Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation

التفاصيل البيبلوغرافية
العنوان: Leveraging Spatio-Temporal Graphs and Knowledge Graphs: Perspectives in the Field of Maritime Transportation
المؤلفون: Christophe Claramunt, Feng Lu, Géraldine Del Mondo, Peng Peng, Jérôme Gensel
المساهمون: Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), Chinese Academy of Sciences [Beijing] (CAS), Spatio-temporal information systems (STEAMER), Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)
المصدر: ISPRS International Journal of Geo-Information
Volume 10
Issue 8
ISPRS International Journal of Geo-Information, Vol 10, Iss 541, p 541 (2021)
ISPRS International Journal of Geo-Information, MDPI, 2021, ⟨10.3390/ijgi10080541⟩
بيانات النشر: Multidisciplinary Digital Publishing Institute, 2021.
سنة النشر: 2021
مصطلحات موضوعية: maritime transportation, Computer science, Geography, Planning and Development, Context (language use), 02 engineering and technology, External Data Representation, 020204 information systems, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Earth and Planetary Sciences (miscellaneous), [INFO]Computer Science [cs], Computers in Earth Sciences, ComputingMilieux_MISCELLANEOUS, graphs, 050210 logistics & transportation, Geography (General), Data manipulation language, 05 social sciences, spatio-temporal, A domain, Data science, Field (geography), Graph, knowledge graphs, Knowledge graph, G1-922, MathematicsofComputing_DISCRETEMATHEMATICS
الوصف: 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.
وصف الملف: application/pdf
اللغة: English
تدمد: 2220-9964
DOI: 10.3390/ijgi10080541
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::266456ee93109f87bfb192b738d53142Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....266456ee93109f87bfb192b738d53142
قاعدة البيانات: OpenAIRE
الوصف
تدمد:22209964
DOI:10.3390/ijgi10080541