A Framework For Measuring Semantic Drift In Ontologies
Thanos G. Stavropoulos, Stelios Andreadis, Marina Riga, Efstratios Kontopoulos, Panagiotis Mitzias, Ioannis Yiannis Kompatsiaris · Zenodo (CERN European Organization for Nuclear Research) · 2016
Building upon and extending existing work, this paper presents a framework for measuring semantic drift in ontologies across time or multiple versions, using text and structural similarity methods to provide valuable insights. Its applicability and usefulness are validated through a proof-of-concept scenario in Digital Preservation, where long-term insights about change are crucial, to track drift across a decade’s worth of real-world digital media data. This paper was presented at the 1st Int. Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) organised by PERICLES partners to explore emerging research in the areas of semantic change and evolving semantics.