Towards knowledge-based geovisualisation using Semantic Web technologies:a knowledge representation approach coupling ontologies and rules  

作　　者：Weiming Huang Lars Harrie 

机构地区：[1]Department of Physical Geography and Ecosystem Science,Lund University,Lund,Sweden

出　　处：《International Journal of Digital Earth》2020年第9期976-997,共22页国际数字地球学报（英文）

基　　金：This work was supported by China Scholarship Council and Lund University.

摘　　要：Geovisualisation is a knowledge-intensive art in which both providers and users need to possess a wide range of knowledge.Current syntactic approaches to presenting visualisation information lack semantics on the one hand,and on the other hand are too bespoke.Such limitations impede the transfer,interpretation,and reuse of the geovisualisation knowledge.In this paper,we propose a knowledge-based approach to formally represent geovisualisation knowledge in a semantically-enriched and machine-readable manner using Semantic Web technologies.Specifically,we represent knowledge regarding cartographic scale,data portrayal and geometry source,which are three key aspects of geovisualisation in the contemporary web mapping era,coupling ontologies and semantic rules.The knowledge base enables inference for deriving the corresponding geometries and portrayals for visualisation under different conditions.A prototype system is developed in which geospatial linked data are used as underlying data,and some geovisualisation knowledge is formalised into a knowledge base to visualise the data and provide rich semantics to users.The proposed approach can partially form the foundation for the vision of web of knowledge for geovisualisation.

关 键 词：Geovisuaisation Semantic Web knowledge representation ontologies semantic rules 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]