Abstract
Today, many institutions and organizations are facing serious problems due to the tremendously increasing size of documents, and this problem is further triggering the storage and retrieval problems due to the continuously growing space and efficiency requirements. This problem is becoming more complex with time and the increase in the size and number of documents in an organization. Therefore, there is a growing demand to address this problem. This demand and challenge can be met by developing more efficient storage and retrieval techniques for electronic documents. Various techniques were developed and reported in the literature by different investigators. These techniques attempt to solve this problem to some extent but, most of the existing techniques still face the efficiency problem, in the case, the number and size of documents increase rapidly. The efficiency is further affected in the existing techniques when documents in a system are reorganized and then stored again. To handle these problems, we need special and efficient storage and retrieval techniques for this type of information retrieval (IR) systems.
In this paper, we present an efficient storage and retrieval technique for electronic documents. The proposed technique uses the Symantec Document Segmentation (SDS) approach to make the technique more efficient than the existing techniques. The use of this approach minimizes the storage size of the documents and as a result makes the retrieval efficient.