idMesh: graph-based disambiguation of linked data

  • Authors:
  • Philippe Cudré-Mauroux;Parisa Haghani;Michael Jost;Karl Aberer;Hermann De Meer

  • Affiliations:
  • MIT, Cambridge, MA, USA;EPFL, Lausanne, Switzerland;EPFL, Lausanne, Switzerland;EPFL, Lausanne, Switzerland;University of Passau, Passau, Germany

  • Venue:
  • Proceedings of the 18th international conference on World wide web
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We tackle the problem of disambiguating entities on the Web. We propose a user-driven scheme where graphs of entities -- represented by globally identifiable declarative artifacts -- self-organize in a dynamic and probabilistic manner. Our solution has the following two desirable properties: i) it lets end-users freely define associations between arbitrary entities and ii) it probabilistically infers entity relationships based on uncertain links using constraint-satisfaction mechanisms. We outline the interface between our scheme and the current data Web, and show how higher-layer applications can take advantage of our approach to enhance search and update of information relating to online entities. We describe a decentralized infrastructure supporting efficient and scalable entity disambiguation and demonstrate the practicability of our approach in a deployment over several hundreds of machines.