Infobox

An infobox is a digital or physical table used to collect and present a subset of information about its subject, such as a document.

It is a structured document containing a set of attribute–value pairs,[1] and in Wikipedia represents a summary of information about the subject of an article.

[6] On Wikipedia, an infobox is transcluded into an article by enclosing its name and attribute–value pairs within a double set of braces.

[10] As of August 2009, English Wikipedia used about 3,000 infobox templates that collectively used more than 20,000 attributes.

[15][16] Knowledge obtained by machine learning can be used to improve an article, such as by using automated software suggestions to editors for adding infobox data.

[11] DBpedia uses structured content extracted from infoboxes[2] by machine learning algorithms to create a resource of linked data in the Semantic Web; it has been described by Tim Berners-Lee as "one of the more famous" components of the linked data project.

[17] Machine extraction creates a triple consisting of a subject, predicate or relation, and object.

[1] Each attribute-value pair of the infobox is used to create an RDF statement using an ontology.