Abstract

TEXT2KG is the second Workshop on Knowledge Graph Generation From Text co-located with ESWC-2023. The primary aim of this workshop is to bring together researchers from multiple focus areas such as Natural Language Processing (NLP), Entity Linking (EL), Relation Extraction (RE), Knowledge Representation and Reasoning (KRR), Deep Learning (DL), Knowledge Base Construction (KBC), Semantic Web, Linked Data, and other related fields to foster a discussion and enhance the state-of-the-art in knowledge graph generation from the text. The workshop had an exciting invited keynote, Heiko Paulheim, Professor, University of Mannheim, Germany. The organizing team is thankful to everyone involved in making the TEXT2KG workshop 2023 a success. First, our thanks go to all the organizers of the main events and Program Committee members for ensuring a rigorous review process that led to an excellent scientific program and an average of three reviews per article. TEXT2KG team is also thankful to keynote speaker (Heiko Paulheim) and all steering committee (Amit Sheth, Sören Auer, Alfio Gliozzo, Enrico Motta, Anna Fensel, Maria Esther Vidal, Edlira Vakaj, Fernando Ortiz-Rodriguez, Sven Groppe), and Publication Chair (Joey Yip) for their valuable contributions. TEXT2KG 2023 also has a BiKE Challenge to explore Biochemical Knowledge Extraction. TEXT2KG 2023 workshop has received 14 papers and accepted 13 papers after a rigorous reviewing process. All accepted papers were long papers. Each paper was reviewed by three reviewers with different backgrounds. The following papers were accepted for publication and …

Date

2023

Authors

Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal

Journal

CEUR WORKSHOP PROCEEDINGS

Volume

3447

Pages

1-3

Publisher

CEUR-WS