Content sharing in information storage and retrieval system using tree representation of documents

In general document collections system contains groups of documents with overlapping content. However, most information storage and retrieval systems process each document separately, causing shared content to be indexed multiple times. In this paper, we describe a new document representation model where related documents are organized as a tree that allowing shared content to be indexed just once. We show that how this representation model can reduce the size of an inverted index as well as the time to build it.