A Multi-agent Model for Content-based Electronic Document Filtering

One of the most important tasks in every office is document management which includes the subtasks of creating, archiving, retrieving, dispatching, updating and processing documents. In the last decades and in many different ways, there have been attempts to automate these tasks with positive results. Technological advances allow these tasks to be fully automated through the use of computers and specialized software. Document management is considered as one of the principal applications of computers. Documents comprise 80% of information that is today available in electronic form, in contrast to classic structured databases [1]. Electronic documents are no more a simple analogue of paper documents; they are more dynamic entities in multiple forms and media. They can include information related to their origin and executable code that undertakes their management, something which is not possible in any piece of paper. Documents become the focus of attention when it comes to software development; their easy and user-friendly management is extremely important and new tools are required. Automation of tasks related to document management has never ceased to be the primary aim of computer science in office environments. The long-term aim is the paperless office, whose implementation in the near future still seems unrealizable. In the paperless office, documents will exist in electronic form and be accessed in a way that is easy and