Lexico-Semantic Approaches to Terminology Mapping: A Survey

Resumen

This survey addresses the challenges of ambiguity and term variation in terminology mapping, a critical task for achieving semantic interoperability across resources within the Linguistic Linked Data paradigm. An analysis of state-of-the-art techniques is presented, including manual, computational, and hybrid approaches. Scenarios for terminology mapping are identified: (i) identical terms with similar definitions, (ii) shared terms with differing definitions, and (iii) distinct terms with highly similar definitions, and the implications of ambiguity and term variation across domains are discussed. Finally, we propose future research directions to improve current methodologies, including approaches based on Large Language Models.