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There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease clusters and finally build a representation of the chosen disease area. There is a shortage of published resources and tools to facilitate interactive, efficient and flexible cross-referencing and analysis of multiple disease ontologies commonly found in data sources and research.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our results are represented as a knowledge graph solution that uses disease ontology cross-references and facilitates switching between ontology hierarchies for data integration and other tasks.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Grakn core with pre-installed \u201cDisease ontologies for knowledge graphs\u201d facilitates the biomedical knowledge graph build and provides an elegant solution for the multiple disease ontologies problem.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12859-021-04173-w","type":"journal-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T17:03:01Z","timestamp":1626886981000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Disease ontologies for knowledge graphs"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3973-2909","authenticated-orcid":false,"given":"Natalja","family":"Kurbatova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rowan","family":"Swiers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,21]]},"reference":[{"key":"4173_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38721-0","volume-title":"Ontology matching","author":"J Euzenat","year":"2013","unstructured":"Euzenat J, Shvaiko P. 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