Models for compression in full-text retrieval systems
Ian H. Witten, Tim Bell, C. Nevill · 2002
This paper explores the application of arithmetic coding to systems involving the storage of a large body of text, along with a lexicon that lists the words and a concordance that indicates the exact locations at which each word can be found. A typical query might seek all sentences that contain a particular word or combination of words. The random-access requirement means that many current compression techniques are not directly applicable-particularly those using adaptive modelling. However, the static nature of the text and the existence of a lexicon give help that is not available in other compression scenarios. A number of different kinds of model developed for different parts of a full-text retrieval system are presented and evaluated.>