WibNED Wikipedia Based Named Entity Disambiguation

Natural Language is a mean to express and discuss concepts, which are taken to be abstractions from perceptions of the experienced real world: what texts describe consist of objects and events. Objects of the real world are identified by proper names, which are words, thus raising the problem of proper linkage between the textual reference and the real object. This work addresses the problem of automatically association of meanings to words within an unstructured text and focuses the attention on words representing Named Entities. The proposed solution consists of a Knowledge based algorithm for Named Entity Disambiguation: we used an ad hoc built corpus, extracted form Wikipedia’s articles to prove the soundness of the algorithm.