Skip to main navigation Skip to search Skip to main content

The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase: A Real-world Complex Ontology Alignment Benchmark using Wikibase

  • Lu Zhou
  • , Cogan Shimizu
  • , Pascal Hitzler
  • , Alicia M. Sheill
  • , Seila Gonzalez Estrecha
  • , Catherine Foley
  • , Duncan Tarr
  • , Dean Rehberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ontology alignment has taken a critical place for helping heterogeneous resources to interoperate. It has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers to find simple 1:1 equivalence matches between two ontologies. However, very few alignment systems focus on finding complex correspondences. Even if the complex alignment systems are developed, the performance of finding complex relations still has a lot of room for improvement. One reason for this limitation may be that there are still few applicable alignment benchmarks that contain such complex relationships that can raise researchers' interests. In this paper, we propose a real-world dataset from the Enslaved project as a potential complex alignment benchmark. The benchmark consists of two resources, the Enslaved Ontology along with a Wikibase repository holding a large number of instance data from the Enslaved project, as well as a manually created reference alignment between them. The alignment was developed in consultation with domain experts in the digital humanities. The alignment not only includes simple 1:1 equivalence correspondences, but also more complex m:n equivalence and subsumption correspondences and are provided in both Expressive and Declarative Ontology Alignment Language (EDOAL) format and rule syntax. The Enslaved benchmark has been incorporated into the Ontology Alignment Evaluation Initiative (OAEI) 2020 and is completely free for public use to assist the researchers in developing and evaluating their complex alignment algorithms.
Original languageEnglish
Title of host publicationCIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages3197-3204
Number of pages8
ISBN (Electronic)9781450368599
DOIs
StatePublished - Oct 19 2020
Externally publishedYes
Event29th ACM International Conference on Information and Knowledge Management, CIKM 2020 - Virtual, Online, Ireland
Duration: Oct 19 2020Oct 23 2020

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference29th ACM International Conference on Information and Knowledge Management, CIKM 2020
Country/TerritoryIreland
CityVirtual, Online
Period10/19/2010/23/20

ASJC Scopus Subject Areas

  • General Business,Management and Accounting
  • General Decision Sciences

Keywords

  • benchmark
  • knowledge graph
  • ontology alignment
  • wikibase

Cite this