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
Original languageEnglish
Title of host publicationThe ninth international conference on knowledge capture: k-cap 2017
StatePublished - 2017

Cite this

Idrissou, A. K., Hoekstra, R., van Harmelen, F., Khalili, A., & van den Besselaar, P. (2017). Is my:sameAs the same as your:sameAs? In The ninth international conference on knowledge capture: k-cap 2017

Idrissou, Al Koudous; Hoekstra, Rinke; van Harmelen, Frank; Khalili, Ali; van den Besselaar, Peter / Is my:sameAs the same as your:sameAs?

The ninth international conference on knowledge capture: k-cap 2017. 2017.

Research output: Scientific - peer-reviewConference contribution

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Idrissou, AK, Hoekstra, R, van Harmelen, F, Khalili, A & van den Besselaar, P 2017, Is my:sameAs the same as your:sameAs? in The ninth international conference on knowledge capture: k-cap 2017.

Is my:sameAs the same as your:sameAs? / Idrissou, Al Koudous; Hoekstra, Rinke; van Harmelen, Frank; Khalili, Ali; van den Besselaar, Peter.

The ninth international conference on knowledge capture: k-cap 2017. 2017.

Research output: Scientific - peer-reviewConference contribution

TY - CHAP

T1 - Is my:sameAs the same as your:sameAs?

AU - Idrissou,Al Koudous

AU - Hoekstra,Rinke

AU - van Harmelen,Frank

AU - Khalili,Ali

AU - van den Besselaar,Peter

PY - 2017

Y1 - 2017

N2 - 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

AB - 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

M3 - Conference contribution

BT - The ninth international conference on knowledge capture: k-cap 2017

ER -

Idrissou AK, Hoekstra R, van Harmelen F, Khalili A, van den Besselaar P. Is my:sameAs the same as your:sameAs? In The ninth international conference on knowledge capture: k-cap 2017. 2017.