Metadata terms with high interoperability may assume different roles from their labels depending on the context in which they are used. However, due to insufficient definitions of vocabularies and relationships between terms, metadata schema designers with less knowledge in metadata find it challenging to identify interoperable terms from the domain-specific vocabularies used. This study proposes a method to map interoperable metadata terms to the concepts of a thesaurus that represent the roles of terms in specific contexts employing the Large Language Models (LLMs). By combining interoperable metadata terms with the domains in which they are used, it is possible to associate them with words that represent their roles. Without extensive metadata knowledge, users are expected to discover more interoperable terms using this approach through a thesaurus-based search.