How to derive a geovisualization from an application data model: an approach based on Semantic Web technologies  

作　　者：Matthieu Viry Marlène Villanova-Oliver 

机构地区：[1]Univ.Grenoble Alpes,CNRS,Grenoble INP(Institute of Engineering Univ.Grenoble Alpes),LIG,Grenoble,France

出　　处：《International Journal of Digital Earth》2021年第7期874-898,共25页国际数字地球学报（英文）

基　　金：financed by the French National Research Agency within the project ‘Heterogeneous data integration and spatial reasoning for locating victims in mountain areas–CHOUCAS’[ANR-16-CE23-0018].

摘　　要：While ontological modelling and Semantic Web technologies are sometimes used to describe knowledge domains with a spatial component,there is still a lack of semantics to describe how to present this knowledge geovisually to the end user and how to automatize the process.In this paper,we first present vocabularies to describe at a high level the elements that make up a geovisualization.We then propose a method that describes at a semantic level how to obtain a geovisualization from an existing data model.This method is based on our vocabularies and on a set of semantic rules encoding rich and complex operations on data.This leads to the derivation of ontological knowledge,ready to be exploited to automate the creation of a geovisualization.The method is implemented in a framework that uses Semantic Web technologies.The singularity and the strength of our proposal is that it enables to describe a geovisualization through a RDF specification file,which once loaded in our system makes the geovisualization directly available for use from a Web browser.This result is obtained by extending a priori an application data model with ad hoc geovisualization semantics features and rules.

关 键 词：Knowledge representation Semantic Web GEOVISUALIZATION ontologies rule-based system 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]