Is my:sameAs the same as your:sameAs? Lenticular lenses for context-specific identity

Al Koudous Idrissou*, Rinke Hoekstra, Frank Van Harmelen, Ali Khalili, Peter Van Den Besselaar

*Corresponding author for this work

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

Abstract

Linking between entities in different datasets is a crucial element of the Semantic Web architecture, since those links allow us to integrate datasets without having to agree on a uniform vocabulary. However, it is widely acknowledged that the owl:sameAs construct is too blunt a tool for this purpose. It entails full equality between two resources independent of context. But whether or not two resources should be considered equal depends not only on their intrinsic properties, but also on the purpose or task for which the resources are used. We present a system for constructing contextspecific equality links. In a first step, our system generates a set of probable links between two given datasets. These potential links are decorated with rich metadata describing how, why, when and by whom they were generated. In a second step, a user then selects the links which are suited for the current task and context, constructing a context-specific "Lenticular Lens". Such lenses can be combined using operators such as union, intersection, difference and composition. We illustrate and validate our approach with a realistic application that supports researchers in social science.

Original languageEnglish
Title of host publicationProceedings of the Knowledge Capture Conference, K-CAP 2017
PublisherAssociation for Computing Machinery, Inc
Pages1-8
Number of pages8
ISBN (Electronic)9781450355537
DOIs
Publication statusPublished - 4 Dec 2017
Event9th International Conference on Knowledge Capture, K-CAP 2017 - Austin, United States
Duration: 4 Dec 20176 Dec 2017

Conference

Conference9th International Conference on Knowledge Capture, K-CAP 2017
CountryUnited States
CityAustin
Period4/12/176/12/17

Keywords

  • Data integration
  • Lens
  • Linkset
  • Owl:sameAs

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