Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Effective Learning in Dynamic Environments by Explicit Context Tracking
ECML '93 Proceedings of the European Conference on Machine Learning
Ontology change: Classification and survey
The Knowledge Engineering Review
Deriving Concept Mappings through Instance Mappings
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Conceptual clustering and its application to concept drift and novelty detection
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Reasoning with multi-version ontologies: a temporal logic approach
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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This paper studies concept drift over time. We first define the meaning of a concept in terms of intension, extension and label. We then introduce concept drift over time and two derived notions: (in)stability over a time period and concept shift between two time points. We apply our framework in three case-studies, one from communication science, on DBPedia, and one in the legal domain. We describe ways of identifying interesting changes in the meaning of concept within given application contexts. These case-studies illustrate the feasibility of our framework in analysing concept drift in knowledge organisation schemas of varying expressiveness.