To leverge the most of linked data and knowledge graphs and to allow access to more content, it may be desirable to map one knowledge organization system (taxonomy, thesaurus, or ontology) to another. This session presents the fundamental principles of mappings or crosswalks between vocabularies, their uses, approaches, methods, tools, standards, and issues. It then continues with a brief case study or two to illustrate the issues in mapping.
Dealing with knowledge evolution and its consequences on terminologies, mappings, and data is a big challenge for the industry. Current surveys show that 10% of terminologies representing domain knowledge evolve every year, impacting on the quality of companies’ assets such as knowledge bases, decision-support systems, search engines, etc. In extreme cases, without any maintenance, by 2025 more than 35% of terminology-dependent artifacts will become obsolete.