Language texts
Language texts
Center of Excellence for Geospatial Information Science (CEGIS)
Grammar rules for processing unstructured language texts can enhance statistical results by using an applied ontology.
Human readable text database strings are classified based on the dependency of meaning among words.
Dependency grammar representations are aligned with the roles of formal logic vocabularies that express machine-readable meaning in a graph.
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2025 CEGIS Annual Research Meeting
The Center of Excellence for Geospatial Information Science (CEGIS) was proud to host the 2025 CEGIS Annual Research Meeting July 22-24, 2025. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our researchers and their...
Language texts
Grammar rules for processing unstructured language texts can enhance statistical results by using an applied ontology. Human readable text database strings are classified based on the dependency of meaning among words. Dependency grammar representations are aligned with the roles of formal logic vocabularies that express machine-readable meaning in a graph.