  As part of the SMILK Joint Lab, we studied the use of Natural Language
Processing to: (1) enrich knowledge bases and link data on the web, and
conversely (2) use this linked data to contribute to the improvement of text
analysis and the annotation of textual content, and to support knowledge
extraction. The evaluation focused on brand-related information retrieval in
the field of cosmetics. This article describes each step of our approach: the
creation of ProVoc, an ontology to describe products and brands; the automatic
population of a knowledge base mainly based on ProVoc from heterogeneous
textual resources; and the evaluation of an application which that takes the
form of a browser plugin providing additional knowledge to users browsing the
web.
