Knowledge Graph Representation and Application for Cartographic Generalization of Coastal Geomorphology in Nautical Charts

Coastal geomorphology is a key component of nearshore representation on nautical charts. However, its cartographic generalization remains constrained by incomplete knowledge-system modeling, limited task-oriented guidance, and insufficient quantitative descriptions of generalization quality. To address these limitations, this study proposes a knowledge-graph-based approach for cartographic generalization of coastal geomorphology in nautical charts. A three-layer graph framework, consisting of a concept layer, an entity layer, and a rule layer, was constructed around shorelines, coastline categories, and generalization rules. Textual knowledge extraction and spatial-feature extraction were then conducted using cartographic specifications, historical chart samples, and expert-experience documents to support the unified organization and population of multi-source knowledge. A reasoning mechanism integrating spatial constraints and semantic associations was further developed to generate quantitative reference indicators and evaluate shoreline generalization quality. The results show that the proposed knowledge graph can organize domain knowledge in a structured and traceable form, identify rule-compliance differences among different shoreline generalization results, and provide descriptive reference benchmarks for quality evaluation. The method offers a knowledge-driven basis for improving the objectivity and explainability of coastal geomorphology generalization in nautical-chart production.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-08-25
DOI
https://doi.org/10.3390/jmse14171568
Primary Topic
Geographic Information Systems Studies
Type
article
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article

Knowledge Graph Representation and Application for Cartographic Generalization of Coastal Geomorphology in Nautical Charts

Xianpeng Liu, Shuaidong Jia, Qiqian Sun, Zikang Song et al.
Journal of Marine Science and Engineering
Geographic Information Systems Studies
article

Knowledge Graph Representation and Application for Cartographic Generalization of Coastal Geomorphology in Nautical Charts

Xianpeng Liu, Shuaidong Jia, Qiqian Sun, Zikang Song, Haoshi Song
article en

Abstract

Coastal geomorphology is a key component of nearshore representation on nautical charts. However, its cartographic generalization remains constrained by incomplete knowledge-system modeling, limited task-oriented guidance, and insufficient quantitative descriptions of generalization quality. To address these limitations, this study proposes a knowledge-graph-based approach for cartographic generalization of coastal geomorphology in nautical charts. A three-layer graph framework, consisting of a concept layer, an entity layer, and a rule layer, was constructed around shorelines, coastline categories, and generalization rules. Textual knowledge extraction and spatial-feature extraction were then conducted using cartographic specifications, historical chart samples, and expert-experience documents to support the unified organization and population of multi-source knowledge. A reasoning mechanism integrating spatial constraints and semantic associations was further developed to generate quantitative reference indicators and evaluate shoreline generalization quality. The results show that the proposed knowledge graph can organize domain knowledge in a structured and traceable form, identify rule-compliance differences among different shoreline generalization results, and provide descriptive reference benchmarks for quality evaluation. The method offers a knowledge-driven basis for improving the objectivity and explainability of coastal geomorphology generalization in nautical-chart production.

Journal of Marine Science and EngineeringVol. 14(17)
Dalian Naval Academy
Life below water
Openalex Percentile: Top 3%
Geographic Information Systems Studies
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Knowledge Graph Representation and Application for Cartographic Generalization of Coastal Geomorphology in Nautical Charts — Xianpeng Liu, Shuaidong Jia, et al. · Journal of Marine Science and Engineering (2026) | TGRS Research Map | TGRS