Difference between revisions of "Transforming Wikipedia into a Search Engine for Local Experts"
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| + | | title = Transforming Wikipedia into a Search Engine for Local Experts | ||
| + | | date = 2015 | ||
| + | | authors = [[Gregory Grefenstette]]<br />[[Karima Rafes]] | ||
| + | | link = https://dl.acm.org/citation.cfm?id=1963134 | ||
| + | | plink = https://arxiv.org/abs/1511.01259v1 | ||
| + | }} | ||
'''Transforming Wikipedia into a Search Engine for Local Experts''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Gregory Grefenstette]] and [[Karima Rafes]]. | '''Transforming Wikipedia into a Search Engine for Local Experts''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Gregory Grefenstette]] and [[Karima Rafes]]. | ||
== Overview == | == Overview == | ||
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 authors 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, authors 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 authors transform Wikipedia into a search engine for experts. | 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 authors 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, authors 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 authors transform Wikipedia into a search engine for experts. | ||
Revision as of 09:03, 1 October 2019
Authors | Gregory Grefenstette Karima Rafes |
|---|---|
Publication date | 2015 |
Links | Original Preprint |
Transforming Wikipedia into a Search Engine for Local Experts - scientific work related to Wikipedia quality published in 2015, written by Gregory Grefenstette and Karima Rafes.
Overview
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 authors 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, authors 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 authors transform Wikipedia into a search engine for experts.
