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What Is Concept Drift and How to Measure It?

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Knowledge Engineering and Management by the Masses (EKAW 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6317))

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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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. https://doi.org/10.1007/978-3-642-16438-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-16438-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16437-8

  • Online ISBN: 978-3-642-16438-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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