Fuzzy methods for knowledge discovery from multilingual text

Abstract

Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. This requirement of organising multilingual document by concepts makes the goal of supporting global knowledge discovery a concept-based multilingual text categorization task. In this paper, intelligent methods for enabling concept-based multilingual text categorisation using fuzzy techniques are proposed. First, a universal concept space, encapsulating the semantic knowledge of the relationship between all multilingual terms and concepts, is generated using a fuzzy multilingual term clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that applies the multilingual semantic knowledge for concept-based multilingual text categorization is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a browseable document directory, concept navigation among a multilingual document collection is facilitated.