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Narrative Cartography with Knowledge Graphs

Mai, Gengchen ; Huang, Weiming LU ; Cai, Ling ; Zhu, Rui and Lao, Ni (2022) In Journal of Geovisualization and Spatial Analysis 6(1).
Abstract

Narrative cartography is a discipline which studies the interwoven nature of stories and maps. However, conventional geovisualization techniques of narratives often encounter several prominent challenges, including the data acquisition & integration challenge and the semantic challenge. To tackle these challenges, in this paper, we propose the idea of narrative cartography with knowledge graphs (KGs). Firstly, to tackle the data acquisition & integration challenge, we develop a set of KG-based GeoEnrichment toolboxes to allow users to search and retrieve relevant data from integrated cross-domain knowledge graphs for narrative mapping from within a GISystem. With the help of this tool, the retrieved data from KGs are directly... (More)

Narrative cartography is a discipline which studies the interwoven nature of stories and maps. However, conventional geovisualization techniques of narratives often encounter several prominent challenges, including the data acquisition & integration challenge and the semantic challenge. To tackle these challenges, in this paper, we propose the idea of narrative cartography with knowledge graphs (KGs). Firstly, to tackle the data acquisition & integration challenge, we develop a set of KG-based GeoEnrichment toolboxes to allow users to search and retrieve relevant data from integrated cross-domain knowledge graphs for narrative mapping from within a GISystem. With the help of this tool, the retrieved data from KGs are directly materialized in a GIS format which is ready for spatial analysis and mapping. Two use cases — Magellan’s expedition and World War II — are presented to show the effectiveness of this approach. In the meantime, several limitations are identified from this approach, such as data incompleteness, semantic incompatibility, and the semantic challenge in geovisualization. For the later two limitations, we propose a modular ontology for narrative cartography, which formalizes both the map content (Map Content Module) and the geovisualization process (Cartography Module). We demonstrate that, by representing both the map content and the geovisualization process in KGs (an ontology), we can realize both data reusability and map reproducibility for narrative cartography.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Geospatial semantics, Knowledge graph, Narrative cartography, Ontology design pattern, Semantic web
in
Journal of Geovisualization and Spatial Analysis
volume
6
issue
1
article number
4
publisher
Springer
external identifiers
  • scopus:85124269028
ISSN
2509-8829
DOI
10.1007/s41651-021-00097-4
language
English
LU publication?
yes
id
a79607a7-3a69-49b7-95f1-de54a7533e70
date added to LUP
2022-12-28 11:15:25
date last changed
2022-12-28 11:15:25
@article{a79607a7-3a69-49b7-95f1-de54a7533e70,
  abstract     = {{<p>Narrative cartography is a discipline which studies the interwoven nature of stories and maps. However, conventional geovisualization techniques of narratives often encounter several prominent challenges, including the data acquisition &amp; integration challenge and the semantic challenge. To tackle these challenges, in this paper, we propose the idea of narrative cartography with knowledge graphs (KGs). Firstly, to tackle the data acquisition &amp; integration challenge, we develop a set of KG-based GeoEnrichment toolboxes to allow users to search and retrieve relevant data from integrated cross-domain knowledge graphs for narrative mapping from within a GISystem. With the help of this tool, the retrieved data from KGs are directly materialized in a GIS format which is ready for spatial analysis and mapping. Two use cases — Magellan’s expedition and World War II — are presented to show the effectiveness of this approach. In the meantime, several limitations are identified from this approach, such as data incompleteness, semantic incompatibility, and the semantic challenge in geovisualization. For the later two limitations, we propose a modular ontology for narrative cartography, which formalizes both the map content (Map Content Module) and the geovisualization process (Cartography Module). We demonstrate that, by representing both the map content and the geovisualization process in KGs (an ontology), we can realize both data reusability and map reproducibility for narrative cartography.</p>}},
  author       = {{Mai, Gengchen and Huang, Weiming and Cai, Ling and Zhu, Rui and Lao, Ni}},
  issn         = {{2509-8829}},
  keywords     = {{Geospatial semantics; Knowledge graph; Narrative cartography; Ontology design pattern; Semantic web}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Springer}},
  series       = {{Journal of Geovisualization and Spatial Analysis}},
  title        = {{Narrative Cartography with Knowledge Graphs}},
  url          = {{http://dx.doi.org/10.1007/s41651-021-00097-4}},
  doi          = {{10.1007/s41651-021-00097-4}},
  volume       = {{6}},
  year         = {{2022}},
}