Cited By
View all- Elfaki AAlfaifi Y(2023)Systematic Approach for Measuring Semantic Relatedness between OntologiesElectronics10.3390/electronics1206139412:6(1394)Online publication date: 15-Mar-2023
Domain specific ontologies from Linked Open Data (LOD)
Authors: 
Rosario Uceda-Sosa, 
Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal, Seema NagarAuthors Info & Claims
Pages 105 - 109
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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Index Terms
- Domain specific ontologies from Linked Open Data (LOD)
Index terms have been assigned to the content through auto-classification.
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Published In
January 2022
357 pages
ISBN:9781450385824
DOI:10.1145/3493700
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Published: 08 January 2022
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CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)
January 8 - 10, 2022
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View all- Elfaki AAlfaifi Y(2023)Systematic Approach for Measuring Semantic Relatedness between OntologiesElectronics10.3390/electronics1206139412:6(1394)Online publication date: 15-Mar-2023
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