Grammar transformations of topographic feature type annotations of the U.S. to structured graph data

These data were used to examine grammatical structures and patterns within a set of geospatial glossary definitions. Objectives of our study were to analyze the semantic structure of input definitions, use this information to build triple structures of RDF graph data, upload our lexicon to a knowledge graph software, and perform SPARQL queries on the data. Upon completion of this study, SPARQL queries were proven to effectively convey graph triples which displayed semantic significance. These data represent and characterize the lexicon of our input text which are used to form graph triples. These data were collected in 2024 by passing text through multiple Python programs utilizing spaCy (a natural language processing...

Categories: Data; Tags: Continental United States, Geography, Information Sciences, TBD, USGS Science Data Catalog (SDC), All tags... data integration, data management, data release, datasets, geospatial lexicon, improvement of scientific data usability, informal semantics, information architecture, information sciences, information technology methods, knowledge graph, knowledge organization system development, natural language processing, scientific data usability, semantic data processing, semantic knowledge graph, society, structure, Fewer tags