Multilingual Concept Mapping for Research Organizations Names

A multilingual terminology mapping dataset designed to support cross-lingual deduplication of research organizations. The resource is organized as a set of unique concept identifiers (keys), each representing a language-independent semantic unit with broad lexical translations.

Each entry links a single concept ID to its corresponding translations and variants, covering diverse linguistic families and writing systems. The dataset includes terminology commonly used in institutional, scientific, administrative, and organizational contexts (e.g., “university”, “department”, “agency”), as well as domain-specific fields such as engineering, medicine, and social sciences.

The dataset is structured in a tabular format and can be easily converted into machine-readable representations such as JSON, RDF, or other ontology-based formats. It is intended as an open resource for researchers and developers working in natural language processing, information retrieval, and multilingual knowledge systems.