Difference between revisions of "Towards Tailored Semantic Annotation Systems from Wikipedia"

From Wikipedia Quality
Jump to: navigation, search
(Adding wikilinks)
(Infobox)
Line 1: Line 1:
 +
{{Infobox work
 +
| title = Towards Tailored Semantic Annotation Systems from Wikipedia
 +
| date = 2011
 +
| authors = [[Shahad Kudama]]<br />[[Rafael Berlanga Llavori]]<br />[[Lisette García-Moya]]<br />[[Victoria Nebot]]<br />[[María José Aramburu Cabo]]
 +
| doi = 10.1109/DEXA.2011.82
 +
| link = http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6059863
 +
}}
 
'''Towards Tailored Semantic Annotation Systems from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Shahad Kudama]], [[Rafael Berlanga Llavori]], [[Lisette García-Moya]], [[Victoria Nebot]] and [[María José Aramburu Cabo]].
 
'''Towards Tailored Semantic Annotation Systems from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Shahad Kudama]], [[Rafael Berlanga Llavori]], [[Lisette García-Moya]], [[Victoria Nebot]] and [[María José Aramburu Cabo]].
  
 
== Overview ==
 
== Overview ==
 
The annotation of texts in natural language links some terms of the text to an external information source that gives us more detailed information about them. Most of the approaches made in this field get any text and annotate it by trying to find out the context of each term, as there are terms that have different meanings depending on the topic treated. In this article, authors propose a variant of this process that annotates a text knowing in advance its context. The external source of information used is [[Wikipedia]] and authors extract and use a fragment of it that embraces all the terms related to the context known beforehand.
 
The annotation of texts in natural language links some terms of the text to an external information source that gives us more detailed information about them. Most of the approaches made in this field get any text and annotate it by trying to find out the context of each term, as there are terms that have different meanings depending on the topic treated. In this article, authors propose a variant of this process that annotates a text knowing in advance its context. The external source of information used is [[Wikipedia]] and authors extract and use a fragment of it that embraces all the terms related to the context known beforehand.

Revision as of 13:49, 4 January 2020


Towards Tailored Semantic Annotation Systems from Wikipedia
Authors
Shahad Kudama
Rafael Berlanga Llavori
Lisette García-Moya
Victoria Nebot
María José Aramburu Cabo
Publication date
2011
DOI
10.1109/DEXA.2011.82
Links
Original

Towards Tailored Semantic Annotation Systems from Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Shahad Kudama, Rafael Berlanga Llavori, Lisette García-Moya, Victoria Nebot and María José Aramburu Cabo.

Overview

The annotation of texts in natural language links some terms of the text to an external information source that gives us more detailed information about them. Most of the approaches made in this field get any text and annotate it by trying to find out the context of each term, as there are terms that have different meanings depending on the topic treated. In this article, authors propose a variant of this process that annotates a text knowing in advance its context. The external source of information used is Wikipedia and authors extract and use a fragment of it that embraces all the terms related to the context known beforehand.