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As the central repository for structured data used by Wikipedia, Wiktionary, Wikisource, and many other Wikimedia projects, Wikidata has become an essential resource for academic research and industrial applications, supporting data integration, semantic technologies, and knowledge-driven systems. Over the years, a growing body of research and practical innovation has highlighted Wikidata's role as a cornerstone of open structured knowledge. Previous editions of the Wikidata Workshop have addressed topics such as data quality, multilingual knowledge contributions, community dynamics, the evolution of collaborative knowledge graphs, and the interaction between Wikidata and emerging AI technologies. The 6th Wikidata Workshop at ISWC 2026 welcomes contributions covering the broad spectrum of research and applications related to Wikidata and collaborative knowledge graphs. We are particularly interested in recent developments in the Wikidata ecosystem, including new infrastructures and capabilities such as GraphQL-based query access, Wikidata partitioning and dataset extraction for large-scale experiments, and embedding-based representations that enable semantic search, machine learning, and downstream AI applications. We also encourage work exploring the role of Wikidata in the rapidly evolving Generative AI ecosystem, including AI agents, tool and skill integration, Model Context Protocol (MCP) interfaces, retrieval-augmented generation, and knowledge grounding. These directions highlight how collaborative knowledge graphs can provide reliable, structured context for intelligent systems. 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