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An Efficient Knowledge-Driven Method for Generating Complex Labels on Geological Maps
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DOI：10.1016/j.envsoft.2025.106640.png)
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Abstract
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• A novel knowledge-driven method integrates Geological Label Knowledge Base (GLKB) and Vector Space Model (VSM) for automated geological label generation. • Achieves <5 ms processing time per label with 99.9977% efficiency compared to manual methods. • Supports complex formatting including subscripts, superscripts, Greek letters, and hierarchical codes. • Open-source implementation compatible with ArcGIS and QGIS platforms enhances reproducibility.
Keywords:
geological label generation
knowledge-driven method
vector space model
automated processing
open-source implementation
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