Using SPARQL to unify queries over data, ontologies, and machine learning models in the PhenomeBrowser knowledgebase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have developed the PhenomeBrowser knowledge base to integrate phenotype associations from a variety of sources into a single knowledge base. We use SPARQL as a unifying query language to access RDF data, perform Description Logic queries over ontologies, and compute the semantic similarity between entities in the knowledge base.
Original languageEnglish (US)
Title of host publication13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2022
PublisherCEUR-WS
Pages97-102
Number of pages6
StatePublished - Jan 1 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-05-10
Acknowledged KAUST grant number(s): FCC/1/1976-08-01, FCC/1/1976- 08-08, URF/1/3790-01-01, URF/1/4355-01-01
Acknowledgements: Supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. URF/1/3790-01-01, URF/1/4355-01-01, FCC/1/1976-08-01, and FCC/1/1976- 08-08.

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