Towards Tailored Semantic Annotation Systems from Wikipedia

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, we propose a variant of this process that annotates a text knowing in advance its context. The external source of information used is Wikipedia and we extract and use a fragment of it that embraces all the terms related to the context known beforehand.