4th International Workshop on Natural Language Processing for Knowledge Graph Construction
Knowledge graphs (KG) are becoming increasingly popular, at the heart of Gartner's emerging tech impact radar, especially as a complementary theme for addressing the challenges of recent advances in natural language processing (NLP) with large language models related to responsible AI such as fairness, transparency, accountability, and explainability. Sir Tim Berners-Lee's seminal work ''Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web'', envisioned a World Wide Web where information is not only accessible but structured, allowing machines to interpret data meaningfully. This vision laid the groundwork for technologies such as RDF (Resource Description Framework) and OWL (Web Ontology Language), which serve as foundational components for modern KGs.
Authors
- Sanju Tiwari (ORCID: https://orcid.org/0000-0001-7197-0766)
- Sergio José Rodríguez Méndez (ORCID: https://orcid.org/0000-0001-7203-8399)
- Edlira Vakaj (ORCID: https://orcid.org/0000-0002-0712-0959)
- Nandana Mihindukulasooriya (ORCID: https://orcid.org/0000-0003-1707-4842)
Institutions
- Australian National University (AU)
- Birmingham City University (GB)
- IBM (United States) (US)
- Sharda University (IN)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3717822
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00