Fuzzy queries and cross-language ontologies in multilingual document exploitation
Valerie V. Cross, Clare R. Voss · 2002
We report on our progress developing RAVEN, a prototype system that enables English-speaking users to quickly determine whether an individual foreign language (FL) text document is relevant to their interest when they do not understand that FL and no human or high-quality machine translation of the document is available. RAVEN uses a cross-language ontology fuzzy mathematics, and graph-based visualization software during it user-query phase and its document-assessment phase. We introduce a novel fuzzy query-construction method and a graph-based presentation of query results with document relevance measures.