SCIENTIFIC ARTICLES ON AGRICULTURAL ECONOMY SEMANTIC PROCESSING FOR DATABASE «AGROS» MAINTAINING

DOI 10.32651/2070-0288-2018-9-94-101

Issue № 9, 2018, article № 15, pages 94-101

Section: Criticism and bibliography

Language: Russian

Original language title: СЕМАНТИЧЕСКАЯ ОБРАБОТКА НАУЧНЫХ ПУБЛИКАЦИЙ ПО ЭКОНОМИКЕ СЕЛЬСКОГО ХОЗЯЙСТВА ДЛЯ АКТУАЛИЗАЦИИ БАЗЫ ДАННЫХ «АГРОС»

Keywords: INFORMATION RESOURCES, DATABASES, BIBLIOGRAPHICAL DESCRIPTION, BIBLIOGRAPHICAL RECORD, ANALYTIC-SYNTHETICAL PROCESSING, INFORMATIONAL SEARCH, AGRICULTURAL ECONOMY, AGRICULTURE, CSAL

Abstract: The article shares results of selection and processing of CSAL incoming documents for database AGROS. Scientists and practical experts requires updated, authentic and complete information about status perspectives and trends of agricultural science and industry for effective managerial decision making, analysis and estimates. The most quick and suitable form for information acquisition and delivery are problem-oriented databases. The goal of current research was development and replenishment of the database that fully shows incoming flow of agricultural and food industry documents and grant different user requests. The researchers also analyzed incoming document flow, selected documents for database, semantically processed them and made the bibliographical records. The research methods included incoming flow content analysis, internal and external document analysis, separate data input with further coalescing for bibliographical record creation. As a result of processing researchers were making a decision of including the document into database and on level of content expanding - monographically or analytically. The documents were processed with five informational-retrieval languages to form clear document search profile and create a bibliographical record for effective retrieval. Authors examined main principals of bibliographical description and analytic-synthetical processing. All processed documents are included into database and available for internet users.

Authors: Pirumova Lidiia Nikolaevna, Semenova Olga Fedorovna