Cross-domain Semantic Drift Measurement in ontologies using the SemaDrift Tool and Metrics

Thanos Stavropoulos, Efstratios Kontopoulos, Albert Meroño-Peñuela, Stavros Tachos, Stelios Andreadis, Ioannis Kompatsiaris

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Detecting and measuring semantic drift in different versions of on-
tologies across time is a novel area of research that rapidly gains attention.
Nevertheless, there exist only a few relevant practical methods and tools and
even fewer are flexible enough to be efficiently applied to multiple domains. As
the often domain-specific nature of ontologies may render methods and tools
for measuring semantic drift ineffective, this paper presents the application and
findings of the SemaDrift suite of methods and tools in several domains, illus-
trating novel insights for the first time. While developed in the context of the
PERICLES FP7 project, aimed at Digital Preservation, domain-independent
text and structural similarity measures, available both as a software library and
as a Protégé plugin for end-users, are now applied in the Dutch Historical Cen-
sus and the BBC Sports Ontology. The two different domains demonstrate its
applicability and ability to pinpoint the location, nature, origins and destinations
of concept drift
Original languageEnglish
Title of host publicationMEPDaW-LDQ 2017 Joint Proceedings of MEPDaW and LDQ 2017
Subtitle of host publicationJoint proceedings of the 3rd Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2017) and the 4th Workshop on Linked Data Quality (LDQ 2017) co-located with 14th European Semantic Web Conference (ESWC 2017) Portorož, Slovenia, May 28th-29th, 2017
EditorsJeremy Debattista, Jürgen Umbrich, Javier D. Fernández
PublisherCEUR-WS.org
Pages59-72
Number of pages13
Publication statusPublished - 2017

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR ws.org
Volume1824

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