A web-based application to support the interaction of spatial and semantic representation of knowledge

被引:0
作者
Zacharopoulou, Dimitra [1 ]
Kokla, Margarita [1 ]
Tomai, Eleni [1 ]
Kavouras, Marinos [1 ]
机构
[1] Natl Tech Univ Athens, Sch Rural Surveying & Geoinformat Engn, Athens, Greece
来源
25TH AGILE CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE ARTIFICIAL INTELLIGENCE IN THE SERVICE OF GEOSPATIAL TECHNOLOGIES | 2022年 / 3卷
关键词
semantic representation; spatial representation; ontologies; maps; geospatial semantics;
D O I
10.5194/agile-giss-3-70-2022
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The visualization of semantic information provides new ways for knowledge acquisition and access, since it enables users to explore and understand the meaning of information, as well as to identify associations among data and connections to existing knowledge. Maps on the other hand are extensively used as symbolic representations of spatial reality. Lately, researchers have delved deeper into formalizing the connection between the map and the semantics it conveys using knowledge-based formalisms such as knowledge graphs, ontologies, and linked data. Semantic visualization techniques may also enrich maps with the knowledge immanent therein and support knowledge visualization and exploration. The present paper describes the development of a web-based prototypical application that contains a spatial and a semantic component that interact. In addition to the representation of geospatial entities as cartographic features, the graph-based representation of semantic information is also implemented, to enable users to explore and understand the meaning and semantic relations between concepts and entities that appear on the map.
引用
收藏
页数:6
相关论文
共 18 条
[1]   The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation [J].
Buttigieg, Pier Luigi ;
Pafilis, Evangelos ;
Lewis, Suzanna E. ;
Schildhauer, Mark P. ;
Walls, Ramona L. ;
Mungall, Christopher J. .
JOURNAL OF BIOMEDICAL SEMANTICS, 2016, 7
[2]   The semantic Web:: The roles of XML and RDF [J].
Decker, S ;
Melnik, S ;
Van Harmelen, F ;
Fensel, D ;
Klein, M ;
Broekstra, J ;
Erdmann, M ;
Horrocks, I .
IEEE INTERNET COMPUTING, 2000, 4 (05) :63-74
[3]  
Fellah S., 2015, OGC Testbed-11 Symbology Mediation Engineering
[4]   From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping [J].
Gould, Nicholas ;
Mackaness, William .
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2016, 43 (03) :208-222
[5]   What is in a Contour Map? A Region-Based Logical Formalization of Contour Semantics [J].
Hahmann, Torsten ;
Usery, E. Lynn .
SPATIAL INFORMATION THEORY, COSIT 2015, 2015, 9368 :375-399
[6]  
Hu Y., AGILE 2015 GEOGRAPHI, P107, DOI [10.1007/978-3-319, DOI 10.1007/978-3-319]
[7]   Towards knowledge-based geovisualisation using Semantic Web technologies: a knowledge representation approach coupling ontologies and rules [J].
Huang, Weiming ;
Harrie, Lars .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2020, 13 (09) :976-997
[8]   Geospatial semantics and linked spatiotemporal data - Past, present, and future [J].
Janowicz, Krzysztof ;
Scheider, Simon ;
Pehle, Todd ;
Hart, Glen .
SEMANTIC WEB, 2012, 3 (04) :321-332
[9]  
Leon A. D., 2012, Map4rdf-Faceted Browser for Geospatial Datasets
[10]   Narrative Cartography with Knowledge Graphs [J].
Mai, Gengchen ;
Huang, Weiming ;
Cai, Ling ;
Zhu, Rui ;
Lao, Ni .
JOURNAL OF GEOVISUALIZATION AND SPATIAL ANALYSIS, 2022, 6 (01)