Dematerialization, Archiving and Recovery of Documents: A Proposed Tool Based on a Semantic Classifier and a Semantic Search Engine

Abstract

Nowadays, every organization have to manage several documents and the number and volume of these will grow more and more, causing a substantial increase in management costs and slowing down the process of recovering useful information at the desired time. Document Management Systems (DMS) are currently a very hot topic because companies can significantly improve their efficiency and productivity through their adoption and use. The aim of this article is to present a document management solution based on a semantic classifier and a semantic search engine, able to support a company in the correct management, archiving and research of documents. A Case Study approach is used through which has been analyzed potential benefits for companies, such as the reduction of problems related to the loss of paper documents and the costs related to their management, the resolution for the recovery and archiving of paper and/or thimble documents and the reduction of search time.