Narrative Cartography with Knowledge Graphs
Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao

TL;DR
This paper introduces a novel approach to narrative cartography using knowledge graphs, addressing data integration and semantic challenges through KG-based tools and ontologies, demonstrated with historical case studies.
Contribution
It proposes KG-based GeoEnrichment tools and a modular ontology to enhance data integration, semantic consistency, and reproducibility in narrative cartography.
Findings
Effective data retrieval from knowledge graphs for mapping
Improved map reproducibility through ontology formalization
Identification of limitations like data incompleteness
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 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…
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Taxonomy
TopicsGeographic Information Systems Studies · Semantic Web and Ontologies · Data Management and Algorithms
