Converse

Conceptual vectors and Multiple ontologies
Search engine

Converse Converse is a search engine based on conceptual vectors. A request is translated into one (or several) vector(s) which are compared to articles index. An index is by itself also a conceptual vector. The classical angular distance (the arcos of th similary defined as the saclar product) is used as a mean of comparison between the request vector and the articles vectors. Playground Only in French. Term to texts with several ontologies : French terms (term) and geography (geo). Enter any number of words and the the number of desired articles n: the closest Le Monde 2200 of internet and the request computing method as sum sum+product resonance (pswd ) Text bases Le Monde 2200 : Articles are from the newspaper Le Monde. The set is of roughly 2200 article from 1999 and 2000. Not all subjects are represented Several ontologies A given text could be indexed agains several ontology, i.e inside several vector spaces. A request is translated (when possible) into a conceptual vector for each vector space. The n liste of candiadtes retrieved are then collated to formulate a unique result list to the user. Request vector Several method can be used to compute the request vector from the request terms. Generaly a lexicial desambiguation is performed through the various terms. For instance : bank+river will not produce the same vector than bank+money.

mathieu lafourcade LIRMM - 161, rue ADA - 34392 Montpellier Cedex 5 - France - Tél : (33) 04 67 41 85 71 - Fax : (33) 04 67 41 85 00 - courriel : lafourca@lirmm.fr