Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis

• Published in: Computers (Basel) Vol. 12; no. 1; p. 14
• Main Authors: Korel, Lukáš, Yorsh, Uladzislau, Behr, Alexander S., Kockmann, Norbert, Holeňa, Martin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2023
• Subjects: Artificial neural networks; Automation; Catalysis; Classifiers; Cognition & reasoning; Domains; Formal specifications; Gaussian process; Knowledge representation; Language; Machine learning; Mapping; Matching; Multilayer perceptrons; Natural language processing; Neural networks; Ontology; Research data management; Subject specialists; Support vector machines; Taxonomy; text classification; text data; text preprocessing; text representation learning; Texts; Transformers; Vector spaces; Web Ontology Language-OWL

The paper presents a machine-learning based approach to text-to-ontology mapping. We explore a possibility of matching texts to the relevant ontologies using a combination of artificial neural networks and classifiers. Ontologies are formal specifications of the shared conceptualizations of applicat...