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They are widely published by various governments to be used by the public and data consumers. However, most open government\u00a0data portals do not provide the five-star Linked Data standard datasets. The published datasets are isolated from one another while conceptually connected. This paper constructs a knowledge graph for the disease-related datasets of a Canadian government data portal, Nova Scotia Open Data. We leveraged the Semantic Web technologies to transform the disease-related datasets into Resource Description Framework (RDF) and enriched them with semantic rules. An RDF data model using the RDF Cube vocabulary was designed in this work to develop a graph that adheres to best practices and standards, allowing for expansion, modification and flexible re-use. The study also discusses the lessons learned during the cross-dimensional knowledge graph construction and integration of open statistical datasets from multiple sources.<\/jats:p>","DOI":"10.1186\/s13326-023-00284-w","type":"journal-article","created":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T03:02:40Z","timestamp":1681786960000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Constructing a knowledge graph for open government data: the case of Nova Scotia disease datasets"],"prefix":"10.1186","volume":"14","author":[{"given":"Enayat","family":"Rajabi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rishi","family":"Midha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jairo Francisco","family":"de\u00a0Souza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"key":"284_CR1","doi-asserted-by":"crossref","unstructured":"Louren\u00e7o RP. 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