Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs

Walid S. Saba
7/20/2023
cs.AI

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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.

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Cite this paper

@article{saba2023towards,
  title  = {Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs},
  author = {Walid S. Saba},
  year   = {2023},
  eprint = {2307.11206},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.11206v1}
}

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