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Concept Drift and How to Identify It

21 Pages Posted: 24 Jun 2018 Publication Status: Accepted

See all articles by Shenghui Wang

Shenghui Wang

VU University Amsterdam; OCLC - Online Computer Library Center, Incorporated

Stefan Schlobach

VU University Amsterdam

Michel Klein

VU University Amsterdam

Abstract

This paper studies concept drift over time. We first define the meaning of a concept in terms of intension, extension and label. Then we study concept drift over time using two theories: one based on concept identity and one based on concept morphing. A qualitative toolkit for analysing concept drift is proposed to detect concept shift and stability when concept identity is available, and concept split and strength of morphing chain if using the morphing theory. We apply our framework in four case-studies: a political vocabulary in SKOS, the DBpedia ontology in RDFS, the LKIF-Core ontology  in OWL and a few biomedical ontologies in OBO. 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.

Keywords: Concept Drift, Semantics, KOS, Ontology Change

Suggested Citation

Wang, Shenghui and Schlobach, Stefan and Klein, Michel, Concept Drift and How to Identify It (September 2011). Journal of Web Semantics First Look, Available at SSRN: https://ssrn.com/abstract=3199520 or http://dx.doi.org/10.2139/ssrn.3199520

Shenghui Wang (Contact Author)

VU University Amsterdam ( email )

De Boelelaan 1105
Amsterdam, ND North Holland 1081 HV
Netherlands

OCLC - Online Computer Library Center, Incorporated ( email )

Leiden
Netherlands

Stefan Schlobach

VU University Amsterdam ( email )

De Boelelaan 1105
Amsterdam, ND North Holland 1081 HV
Netherlands

Michel Klein

VU University Amsterdam ( email )

De Boelelaan 1105
Amsterdam, ND North Holland 1081 HV
Netherlands

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