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2. Template:Knowledge management - Wikipedia

   en.wikipedia.org/wiki/Template:Knowledge_management

   To change this template's initial visibility, the |state= parameter may be used: {{Knowledge management | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Knowledge management | state = expanded}} will show the template expanded, i.e. fully visible. See also {{Information science}} {{Semantic Web

3. Category:Websites templates - Wikipedia

   en.wikipedia.org/wiki/Category:Websites_templates

   [[Category:Websites templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Websites templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

4. Gatekeeping (communication) - Wikipedia

   en.wikipedia.org/wiki/Gatekeeping_(communication)

   Gatekeeping as a news process was identified in the literature as early as 1922, [dubious – discuss] though not yet given a formal theoretical name. In his book 'The Immigrant Press', Robert Park explains the process, "out of all of the events that happen and are recorded every day by correspondents, reporters, and the news agencies, the editor chooses certain items for publication which he ...

5. Template:Official website - Wikipedia

   en.wikipedia.org/wiki/Template:Official_website

   This template provides a standard format for labeling links to official websites, stating "Official website" with the website linked. If no parameters are set in this template, the template will use the official website entered into Wikidata, if available. Template parameters [Edit template data] Parameter Description Type Status URL 1 url URL Leave this blank to use a URL entered into ...

6. AOL

   search.aol.com

   The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

7. Knowledge extraction - Wikipedia

   en.wikipedia.org/wiki/Knowledge_extraction

   Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.