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 language | English (US) |
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Title of host publication | 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2022 |
Publisher | CEUR-WS |
Pages | 97-102 |
Number of pages | 6 |
State | Published - Jan 1 2022 |
Bibliographical note
KAUST Repository Item: Exported on 2022-05-10Acknowledged 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.