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Wikifier: enhance your content

What is Wikifier?

Wikifier is a demo developed by the Exalabs team that allows enrichment of content from a page with contextual information coming from Wikipedia. 

Wikifier uses the detection of named entities to extract names, places and organizations from Wikipedia entries. Extracted words are identified with gray highlighting and passing the mouse over one of the words allows a small, semi-transparent, pop up window to appear displaying the information fed from Wikipedia (English version only).

This information currently represents: For the moment, 2 ways to use Wikifier exist:
Figure 1: Example of Wikifier on the CNN site with a pop-up window on the word BMW
 
Figure 1: Example of Wikifier on the CNN site with a pop-up window on the word “BMW.”

What's next?

The new Wikifier version will be based on functionalities in Exalead Cloudview Search Edition. This version will not be limited only to content from Wikipedia but will also include all the content indexed by Exalead Cloudview Search Edition. The indexed content should be categorized as content for Wikifier. It will be visible for everyone and consequently does not take into account security information.

This version doesn’t rest only on the detection of named entities but also on custom thesauri. It will be possible to filter the type of entity that you wish to "wikify".

The demo is available at http://wikifier.labs.exalead.com/.

Wikifier in a few words

  • 478 393 individuals
  • 51 691 places (countries, cities, …)
  • 63 147 organizations (companies, associations…)
  • 129 436 images (regarding the subjects above)

Who is Wikifier for?

  • Specialized site: Allows the posting of definitions of technical terms on specialized sites. Example: information about actors, films etc on cinema websites.
  • Contextual Definition: Allows the posting of definitions on certain terms. Example: explanation of IT terms.
  • E-commerce site: Information about the product, about the creator, comments carried out by clients during a search. Example: An online travel site would be able to suggest information on destinations or about hotels from the search.
  • People directory: Cross-referencing of data from an LDAP directory with the names of company employees found on the intranet pages.
  • Legal department: Posting of legal text in a pop up window associated with the law number in the text.
  • Product sheet: Cross-referencing with company product sheets.
  • Scientific Domain: Example from the biomedical domain: posting of information about molecules or active ingredients during the search.