We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25,000 OCRed JSTOR papers, we use Deep Learning methods to filter out OCR noise, extract and interrelate research activities, methods and goals, associate them with metadata and transform each paper into approximately 200 RDF triples.

A Knowledge Graph for Humanities Research

Leontaridis, Panagiotis;
2023-01-01

Abstract

We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25,000 OCRed JSTOR papers, we use Deep Learning methods to filter out OCR noise, extract and interrelate research activities, methods and goals, associate them with metadata and transform each paper into approximately 200 RDF triples.
2023
knowledge graphs
information extraction from text
knowledge representation
entity recognition
linked open data
natural language processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1201768
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