TAGME is a powerful tool that is able to identify on-the-fly meaningful short-phrases (called "spots") in an unstructured text and link them to a pertinent Wikipedia page in a fast and effective way. This annotation process has implications which go far beyond the enrichment of the text with explanatory links because it concerns with the contextualization and, in some way, the understanding of the text.
Try TAGME now!

You can play with the demo interface below or check the TAGME RESTful API we are currently supporting.

Currently TAGME is available in English and in Italian and it is based on Wikipedia snapshots of July, 2012.

NEWS! As of August 2012, new RESTful functions are available and new advanced parameters can be used. For instance, you can compute semantic relatedness between topics identified by TAGME, or enable the special parser for Twitter messages. Check the RESTful API page for further details.

Developed by Paolo Ferragina and Ugo Scaiella at A³ Lab
Dipartimento di Informatica, University of Pisa.