What are some scenarios where RML might not be the best choice for data integration?

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what is rml

• What are Literals in RML?
• What is the long-term vision for RML and its role in the data landscape?
• How can RML be used in agile data integration projects?
• What are some common metadata standards that can be used with RML?
• What are some advanced features of the RML Mapper?
• Is RML still actively developed and maintained?
• What is the rr template property in RML?
• How can RML be used to generate RDF that can be used with rule engines?
• Are there any mentorship programs or other forms of support for new RML contributors?
• Can linked data generated by RML provide context for AI models?