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Wikipedia is widely used for finding general information about a wide varietyof topics. Its vocation is not to provide local information. For example, itprovides plot, cast, and production information about a given movie, but notshowing times in your local movie theatre. Here we describe how we can connectlocal information to Wikipedia, without altering its content. The case study wepresent involves finding local scientific experts. Using a third-partytaxonomy, independent from Wikipedia's category hierarchy, we index informationconnected to our local experts, present in their activity reports, and were-index Wikipedia content using the same taxonomy. The connections betweenWikipedia pages and local expert reports are stored in a relational database,accessible through as public SPARQL endpoint. A Wikipedia gadget (or plugin)activated by the interested user, accesses the endpoint as each Wikipedia pageis accessed. An additional tab on the Wikipedia page allows the user to open upa list of teams of local experts associated with the subject matter in theWikipedia page. The technique, though presented here as a way to identify localexperts, is generic, in that any third party taxonomy, can be used in this toconnect Wikipedia to any non-Wikipedia data source.

Transforming Wikipedia into an Ontology-based Information Retrieval Search Engine for Local Experts using a Third-Party Taxonomy