A Pattern Search Algorithm in Graph Representations of Textual Data for an Ontology Construction System
The article presents the development and formalization of an algorithm for pattern matching in graph representations of textual data as a core component of syntactic-semantic transformations for ontology construction from text documents. The study aims to bridge the gap between natural language processing and formal logic by introducing a universal SPARQL-based approach for executing transf- ormation rules directly on graph database servers.