11. A method for conducting a query-based search in documents as claimed in claim 8 , wherein the matching search results are obtained through a result handler.
8. A grid-computing implemented method for conducting a query-based search in documents having been automatically classified, the method using information theory and semantic density for feature reduction, the method comprising: a) receiving one or more search input; b) detecting the language of the query-based search; c) discovering one or more sentences in the query-based search; d) classifying text objects contained in the query-based search using semantic proximity, information density and polarity and objectivity scores of the query-based search concepts using an information theory and natural language approach; e) categorizing the query-based search by extracting the categories from the query-based search; f) updating a search index based on monitoring of changes made to the query through successive iterations allowing for continuous machine learning based updates to semantic indexes; g) executing a search to match classified and categorized query-based search in the documents.