SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

THE ALGORITHM OF DOCUMENT ROUTING IN THE ELECTRONIC DOCUMENT MANAGEMENT SYSTEM USING MACHINE LEARNING METHODS

Mikhail Krasnyanskiy

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.1/s07.097View metrics

Abstract

The increase of transferred information amounts brings the need to create new automated systems for data recognition, classification and routing. It is impossible to solve such problems without modern machine learning technologies and artificial intelligence technologies. An algorithm that takes into account the linguistic and syntactic properties of documents, the characteristics of the subject area is formulated on the basis of the system approach to the analysis and decomposition of the task of document routing in the electronic document management system of scientific and educational institutions. This let to extract, process, and recognize senders and recipients of documents using machine learning methods with greater efficiency and accuracy. On the basis of the received data the subsystem of automatic routing of documents in system of electronic document management is formed. The obtained scientific results are applicable to the development of automatic routing systems in electronic document management systems. The presented approaches to the recognition and processing of recipients and senders of documents and text analysis are used to solve the problems of routing documents in various subject areas.

Publication Impact Profile

PlumX
  • Citations
  • CrossRef - Citation Indexes: 2
  • Scopus - Citation Indexes: 9
  • Captures
  • Mendeley - Readers: 14
PLUMX see details

Publication details

Title
THE ALGORITHM OF DOCUMENT ROUTING IN THE ELECTRONIC DOCUMENT MANAGEMENT SYSTEM USING MACHINE LEARNING METHODS
Authors
Mikhail Krasnyanskiy
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
765-772
SWS Citekey
Krasnyanskiy20187765772
ISSN
1314-2704
ISBN
978-619-7408-39-3
Language
en
Publication type
Conference Paper
Keywords
Electronic document management systeminformation processingdocument routingmachine learning
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

Citing literature

Number of times cited according to Crossref: 4

Open DOICrossref metadataOpenCitations
View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list