This is the PARSE+DDM pipelines integration

A Local Knowledge Graph Construction (KGC) pipeline designed to transform individual academic papers into their structured local Knowledge Graph (KG) representations. The pipeline leverages Large Language Models (LLMs), particularly generative LLMs, to automate key Natural Language Processing (NLP) tasks in KGC.

SPARQL-based Relaxed Rule Specification

Papers And Relationships Semantic Extraction

Metadata Extractor & Loader (MEL) ■ The NLP-NER Toolkit (TNNT)

{g0-Builder + J2RM}: KG construction package

Performance analysis of the Natural Language Processing (NLP) tools and Named-Entity Recognition (NER) models integrated into TNNT ("The NLP-NER Toolkit"). The analysis was based on public datasets. The followed methodology covered different aspects of comparison accuracy metrics (precision and recall) between dataset-model-category combinations…