KGA believes that the future demand of Semantic and FAIR Knowledge Graphs (SKG)w in the industrial sector will require immense effort in the development of standardized semantic models, methodology, and tools for multifarious industrial domains and applications. KGA aims to advance the adoption of semantic knowledge graph* (SKG) for storing, managing, representing, exchanging, and analyzing industrial data though standardization and harmonization of semantic data models and development of methodology and tools for knowledge specific to industrial domain. KGA aspires to integrate semantic knowledge graphs in the contemporary and future application of AI technologies in the context of Industry 5.0 and its relation to society and environment. KGA envisages to ACT as a bridge among the ongoing and future efforts in SKG by industry, research organizations, universities, and standardization bodies to facilitate harmonization, benchmarking, and standardization along with the development of industry-standard guidance, maturity, and risk models for alleviating the uncertainty of the return of industrial investment in SKG transition projects. KGA will also showcase the practical use of state-of-the-art and future technologies as part of its continuous promotional effort in building confidence in companies for adoption of SKG in their operations.