• Šebek O, Jirkovský V, Rychtyckyj N and Kadera P. (2019). Semi-automatic Tool for Ontology Learning Tasks. Industrial Applications of Holonic and Multi-Agent Systems. 10.1007/978-3-030-27878-6_10. (119-129).

    http://link.springer.com/10.1007/978-3-030-27878-6_10

  • Riga M, Mitzias P, Kontopoulos E and Kompatsiaris I. (2018). PROPheT – Ontology Population and Semantic Enrichment from Linked Data Sources. Data Analytics and Management in Data Intensive Domains. 10.1007/978-3-319-96553-6_12. (157-168).

    http://link.springer.com/10.1007/978-3-319-96553-6_12

  • Booshehri M and Luksch P. Towards linked open data enabled ontology learning from text. Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services. (252-256).

    https://doi.org/10.1145/3011141.3011184