Abstract
Knowledge graphs (KGs) have become the standard technology for the representation of factual information in applications such as recommendation engines, search, and question-answering systems. However, the continual updating of KGs, as well as the integration of KGs from different domains and KGs in different languages, remains to be a major challenge. What we suggest here is that by a reification of abstract objects and by acknowledging the ontological distinction between concepts and types, we arrive at an ontologically grounded and language-agnostic representation that can alleviate the difficulties in KG integration.- Anthology ID:
- 2023.iwcs-1.11
- Volume:
- Proceedings of the 15th International Conference on Computational Semantics
- Month:
- June
- Year:
- 2023
- Address:
- Nancy, France
- Editors:
- Maxime Amblard, Ellen Breitholtz
- Venue:
- IWCS
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 94–98
- Language:
- URL:
- https://aclanthology.org/2023.iwcs-1.11
- DOI:
- Cite (ACL):
- Walid Saba. 2023. Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs. In Proceedings of the 15th International Conference on Computational Semantics, pages 94–98, Nancy, France. Association for Computational Linguistics.
- Cite (Informal):
- Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs (Saba, IWCS 2023)
- PDF:
- https://preview.aclanthology.org/revert-3132-ingestion-checklist/2023.iwcs-1.11.pdf