Semantic web and the Linked Data design principles are well-known examples of achieving standard-based data interoperability, where expert intervention is used to create a semantic model that captures dataset content and context and introduces links within and between datasets . Thus, forming a linked-data knowledge graph, a unified knowledge representation that can be used for querying and deriving insights quickly and cost-effectively . The knowledge graph is crucial to interoperating among different datasets and data sources by overcoming the gap of conceptual heterogeneity and ensuring semantic interoperability .