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Transforming Wikipedia into a Search Engine for Local Experts

Gregory Grefenstette 1 Karima Rafes 2, 1 
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Finding experts for a given problem is recognized as a difficult task. Even when a taxonomy of subject expertise exists, and is associated with a group of experts, it can be hard to exploit by users who have not internalized the taxonomy. Here we present a method for both attaching experts to a domain ontology, and hiding this fact from the end user looking for an expert. By linking Wikipedia to this same pivot ontology, we describe how a user can browse Wikipedia, as they normally do to search for information, and use this browsing behavior to find experts. Experts are characterized by their textual productions (webpages, publications, reports), and these textual productions are attached to concepts in the pivot ontology. When the user finds the Wikipedia page characterizing their need, a list of experts is displayed. In this way we transform Wikipedia into a search engine for experts.
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Preprints, Working Papers, ...
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Contributor : Gregory Grefenstette Connect in order to contact the contributor
Submitted on : Wednesday, November 4, 2015 - 10:08:49 AM
Last modification on : Wednesday, September 16, 2020 - 5:10:29 PM
Long-term archiving on: : Friday, February 5, 2016 - 10:33:03 AM


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  • HAL Id : hal-01224114, version 1
  • ARXIV : 1511.01259


Gregory Grefenstette, Karima Rafes. Transforming Wikipedia into a Search Engine for Local Experts. 2015. ⟨hal-01224114v1⟩



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