Using Human Plausible Reasoning as a Framework for Multilingual Information Filtering

In this paper the application of the theory of Human Plausible Reasoning (HPR) has been investigated in the domain of filtering and cross language information retrieval. The theory of Human Plausible Reasoning first has been introduced by Collins and Michalski on early 1990s; it has been applied to IR since 1995. This work is an extension to those experiments which focuses on building a framework for cross language information retrieval. The system built in these experiments utilizes plausible inferences to infer new, unknown knowledge from existing knowledge to retrieve not only documents which are indexed by the query terms but also those which are plausibly relevant.