Domain specific ontologies from Linked Open Data (LOD)

• URL: http://arxiv.org/abs/2505.22550v1
• Date: Wed, 28 May 2025 16:33:01 GMT
• Title: Domain specific ontologies from Linked Open Data (LOD)
• Authors: Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal, Seema Nagar,
• Abstract summary: Domain specific knowledge may make it more efficient to consume the knowledge and easier to extend with proprietary content.<n>We discuss our experience for IT with a domain-agnostic pipeline, and extending it using domain-specific glossaries.
• Score: 6.664338208823287
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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