International Conference on Knowledge Engineering and Knowledge Management

EKAW 2010: Knowledge Engineering and Management by the Masses pp 241-256

What Is Concept Drift and How to Measure It?

  • Shenghui Wang
  • Stefan Schlobach
  • Michel Klein
Conference paper

DOI: 10.1007/978-3-642-16438-5_17

Volume 6317 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Wang S., Schlobach S., Klein M. (2010) What Is Concept Drift and How to Measure It?. In: Cimiano P., Pinto H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science, vol 6317. Springer, Berlin, Heidelberg

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Shenghui Wang
    • 1
    • 2
  • Stefan Schlobach
    • 2
  • Michel Klein
    • 2
  1. 1.Department of Communication ScienceVrije UniversiteitAmsterdam
  2. 2.Department of Computer ScienceVrije UniversiteitAmsterdam