Generating corrupted data sources for the evaluation of matching systems

Fiona McNeill, Diana Bental, Alasdair J. G. Gray, Sabina Jedrzejczyk, Ahmad Alsadeeqi

Research output: Contribution to journalConference articlepeer-review

8 Downloads (Pure)

Abstract

One of the most difficult aspects of developing matching systems – whether for matching ontologies or for other types of mismatched
data – is evaluation. The accuracy of matchers are usually evaluated by measuring the results produced by the systems against reference sets, but gold-standard reference sets are expensive and difficult to create. In this paper we introduce crptr, which generates multiple variations of different sorts of dataset, where the degree of variation is controlled, in order that they can be used to evaluate matchers in different context.
Original languageEnglish
Pages (from-to)41-45
Number of pages5
JournalCEUR Workshop Proceedings
Volume2536
Publication statusPublished - 16 Jan 2020
Event14th International Workshop on Ontology Matching 2019 - Auckland , New Zealand
Duration: 26 Oct 201926 Oct 2019

Fingerprint

Dive into the research topics of 'Generating corrupted data sources for the evaluation of matching systems'. Together they form a unique fingerprint.

Cite this