Towards quantitative concept analysis
Rogelio Nazar, Jorge Vivaldi, Leo Wanner · RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · 2007
Abstract: In this paper we present an approach to the automatic extraction of conceptual structures from unorganized collections of documents using large scale lexical regularities in text. The technique maps a term to a constellation of other terms that captures the essential meaning of the term in question. The methodology is language independent, it involves an exploration of a document collection in which the initial term occurs (e.g., the collection returned by a search engine when being queried with this term) and the building of a network in which each node is assigned to a term. The weights of the connections between nodes are strengthened each time the terms that these nodes represent appear together in a context of a predefined length. Possible applications are automatic concept map generation, terminology extraction, term retrieval, term translation, term localization, etc. The system is currently under development although preliminary experiments show promising results.