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) is proud to host the 2025 U.S. Geological Survey’s Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting July 22-24, 2025. The virtual calendar event is being hosted by the USGS Community for Data Integration (CDI) in collaboration with CEGIS and is invitation only. The annual research meeting is...
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.