Inproceedings3872
Mining Scholarly Publications for Scientific Knowledge Graph Construction
Mining Scholarly Publications for Scientific Knowledge Graph Construction
Published: 2019
Buchtitel: In Proc. of 16th European Semantic Web Conference (ESWC 2019) Satellite Events Poster and Demo Track
Ausgabe: 11762
Seiten: 8-12
Verlag: Springer
Nicht-referierte Veröffentlichung
BibTeX
Kurzfassung
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.
ISBN: 978-3-030-32326-4
Download: Media:2019 - Mining Scholarly Publications for Scientific Knowledge Graph Construction.pdf
DOI Link: 10.1007/978-3-030-32327-1_2
Information Service Engineering