Importance

Loading Importance Indicators...

Abstract

A method of efficient compression, storage, and transmission is presented that takes advantage of the fact that most of the text manipulated by distributed information systems is written in natural languages comprised of a finite vocabulary of words, phrases, sentences, and the like. The method achieves significant efficiencies over prior art by using a hierarchy of dictionaries or vocabularies that are dynamically created and may contain subdictionaries that are specific to the national language (such as English and/or German) and possibly the subject area (such as medical, legal or computer science) of the textual information being encoded, stored, searched, and transmitted. This method is also applicable to non-natural language files, i.e., binary files, exec files, and the like. The method includes steps of parsing words or data sequences from text in an input file and comparing the parsed words or data sequences to the dynamically compiled hierarchical dictionaries. The dictionaries have a plurality of vocabulary words in it and numbers or tokens corresponding to each vocabulary word. A further step is determining which of the parsed words or data bit chunk of varying lengths are not present in the predetermined dictionary and creating at least one supplemental dictionary including the parsed words that are not present in the predetermined dictionary. The predetermined dictionary and the supplemental dictionary are stored together in a file that may be compressed. Also, the parsed words are replaced with numbers or tokens corresponding to the numbers assigned in the predetermined and supplemental dictionary and the numbers or tokens are stored in the compressed file.

Loading the Abstract Image...

First Claim