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Over the past decade, the electric vehicle industry has experiencedunprecedented growth and diversification, resulting in a complex ecosystem. Toeffectively manage this multifaceted field, we present an EV-centric knowledgegraph (EVKG) as a comprehensive, cross-domain, extensible, and open geospatialknowledge management system. The EVKG encapsulates essential EV-relatedknowledge, including EV adoption, electric vehicle supply equipment, andelectricity transmission network, to support decision-making related to EVtechnology development, infrastructure planning, and policy-making by providingtimely and accurate information and analysis. To enrich and contextualize theEVKG, we integrate the developed EV-relevant ontology modules from existingwell-known knowledge graphs and ontologies. This integration enablesinteroperability with other knowledge graphs in the Linked Data Open Cloud,enhancing the EVKG's value as a knowledge hub for EV decision-making. Using sixcompetency questions, we demonstrate how the EVKG can be used to answer varioustypes of EV-related questions, providing critical insights into the EVecosystem. Our EVKG provides an efficient and effective approach for managingthe complex and diverse EV industry. By consolidating critical EV-relatedknowledge into a single, easily accessible resource, the EVKG supportsdecision-makers in making informed choices about EV technology development,infrastructure planning, and policy-making. As a flexible and extensibleplatform, the EVKG is capable of accommodating a wide range of data sources,enabling it to evolve alongside the rapidly changing EV landscape.

EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System