In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods for extracting entities and relationships from research publications and then integrates them in a Knowledge Graph. More specifically, we (i) tackle the challenge of knowledge extraction by employing several state-of-the-art Natural Language Processing and Text Mining tools, (ii) describe an approach for integrating entities and relationships generated by these tools, and (iii) analyse an automatically generated Knowledge Graph including 10, 425 entities and 25, 655 relationships in the field of Semantic Web.

Buscaldi, D., Dessì, D., Motta, E., Osborne, F., Reforgiato Recupero, D. (2019). Mining Scholarly Publications for Scientific Knowledge Graph Construction. In The Semantic Web: ESWC 2019. Satellite Events (pp.8-12). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-32327-1_2].

Mining Scholarly Publications for Scientific Knowledge Graph Construction

Osborne F;
2019

Abstract

In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods for extracting entities and relationships from research publications and then integrates them in a Knowledge Graph. More specifically, we (i) tackle the challenge of knowledge extraction by employing several state-of-the-art Natural Language Processing and Text Mining tools, (ii) describe an approach for integrating entities and relationships generated by these tools, and (iii) analyse an automatically generated Knowledge Graph including 10, 425 entities and 25, 655 relationships in the field of Semantic Web.
Si
poster
Deep learning; Knowledge representation; Learning systems; Natural language processing systems; Text mining;
English
16th Extended Semantic Web Conference, ESWC 2019 - 2 June 2019 through 6 June 2019
978-3-030-32326-4
https://link.springer.com/chapter/10.1007/978-3-030-32327-1_2
Buscaldi, D., Dessì, D., Motta, E., Osborne, F., Reforgiato Recupero, D. (2019). Mining Scholarly Publications for Scientific Knowledge Graph Construction. In The Semantic Web: ESWC 2019. Satellite Events (pp.8-12). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-32327-1_2].
Buscaldi, D; Dessì, D; Motta, E; Osborne, F; Reforgiato Recupero, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/381247
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