Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts

Maps have long been seen as a single cartographic product for different uses, with the user having to adapt their interpretation to his or her own needs. On-demand mapping reverses this paradigm in that it is the map that adapts to the user’s needs and context of use. Still often manual and reserved...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bilal Koteich, Éric Saux, Wissame Laddada
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ontology knowledge representation and reasoning on-demand mapping recommendation system cartography Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/dab559b6c42f4a798d130648a7eb8453
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dab559b6c42f4a798d130648a7eb8453
record_format	dspace
spelling	oai:doaj.org-article:dab559b6c42f4a798d130648a7eb84532021-11-25T17:53:15ZKnowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts10.3390/ijgi101107862220-9964https://doaj.org/article/dab559b6c42f4a798d130648a7eb84532021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/786https://doaj.org/toc/2220-9964Maps have long been seen as a single cartographic product for different uses, with the user having to adapt their interpretation to his or her own needs. On-demand mapping reverses this paradigm in that it is the map that adapts to the user’s needs and context of use. Still often manual and reserved for professionals, on-demand mapping is evolving toward an automation of its processes and a democratization of its use. An on-demand mapping service is a chain of several consecutive steps leading to a target map that precisely meets the needs and requirements of a user. This article addresses the issue of selecting relevant thematic layers with a specific context of use. We propose a knowledge-based recommendation approach that aims to guide a cartographer through the process of map-making. Our system is based on high- and low-level ontologies, the latter modeling the concepts specific to different types of maps targeted. By focusing on maritime maps, we address the representation of knowledge in this context of use, where recommendations rely on axiomatic and rule-based reasoning. For this purpose, we choose description logics as a formalism for knowledge representation in order to make cartographic knowledge machine readable.Bilal KoteichÉric SauxWissame LaddadaMDPI AGarticleontologyknowledge representation and reasoningon-demand mappingrecommendation systemcartographyGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 786, p 786 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ontology knowledge representation and reasoning on-demand mapping recommendation system cartography Geography (General) G1-922
spellingShingle	ontology knowledge representation and reasoning on-demand mapping recommendation system cartography Geography (General) G1-922 Bilal Koteich Éric Saux Wissame Laddada Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
description	Maps have long been seen as a single cartographic product for different uses, with the user having to adapt their interpretation to his or her own needs. On-demand mapping reverses this paradigm in that it is the map that adapts to the user’s needs and context of use. Still often manual and reserved for professionals, on-demand mapping is evolving toward an automation of its processes and a democratization of its use. An on-demand mapping service is a chain of several consecutive steps leading to a target map that precisely meets the needs and requirements of a user. This article addresses the issue of selecting relevant thematic layers with a specific context of use. We propose a knowledge-based recommendation approach that aims to guide a cartographer through the process of map-making. Our system is based on high- and low-level ontologies, the latter modeling the concepts specific to different types of maps targeted. By focusing on maritime maps, we address the representation of knowledge in this context of use, where recommendations rely on axiomatic and rule-based reasoning. For this purpose, we choose description logics as a formalism for knowledge representation in order to make cartographic knowledge machine readable.
format	article
author	Bilal Koteich Éric Saux Wissame Laddada
author_facet	Bilal Koteich Éric Saux Wissame Laddada
author_sort	Bilal Koteich
title	Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
title_short	Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
title_full	Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
title_fullStr	Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
title_full_unstemmed	Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts
title_sort	knowledge-based recommendation for on-demand mapping: application to nautical charts
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/dab559b6c42f4a798d130648a7eb8453
work_keys_str_mv	AT bilalkoteich knowledgebasedrecommendationforondemandmappingapplicationtonauticalcharts AT ericsaux knowledgebasedrecommendationforondemandmappingapplicationtonauticalcharts AT wissameladdada knowledgebasedrecommendationforondemandmappingapplicationtonauticalcharts
_version_	1718411892194541568

Knowledge-Based Recommendation for On-Demand Mapping: Application to Nautical Charts

Ejemplares similares