Domain specific ontologies from Linked Open Data (LOD)
Information Retrieval
2025-05-29 v1
Abstract
Logical and probabilistic reasoning tasks that require a deeper knowledge of semantics are increasingly relying on general purpose ontologies such as Wikidata and DBpedia. However, tasks such as entity disambiguation and linking may benefit from domain specific knowledge graphs, which make it more efficient to consume the knowledge and easier to extend with proprietary content. We discuss our experience bootstrapping one such ontology for IT with a domain-agnostic pipeline, and extending it using domain-specific glossaries.
Keywords
Cite
@article{arxiv.2505.22550,
title = {Domain specific ontologies from Linked Open Data (LOD)},
author = {Rosario Uceda-Sosa and Nandana Mihindukulasooriya and Atul Kumar and Sahil Bansal and Seema Nagar},
journal= {arXiv preprint arXiv:2505.22550},
year = {2025}
}