Vysotska V. Linguistic analysis and modelling semantics of textual content for digest formation / Victoria Vysotska, Lyubomyr Chyrun // MEST Journal (Management Education Science & Society Technologie). – Vol.3 No.1. – PP. 127-148 [Online]. – ISSN 2334-7171, ISSN 2334-7058 (Online), DOI 10.12709/issn.2334-7058. This issue: DOI 10.12709/mest.02.02.02.0. – Режим доступу: http://mest.meste.org/MEST_1_2015/Sadrzaj_eng.html, http://mest.meste.org/MEST_1_2015/5_15.pdf.

Victoria Vysotska
Lviv Polytechnic National University, Lviv, Ukraine
Lyubomyr Chyrun
Lviv Polytechnic National University, Lviv, Ukraine

LINGUISTIC ANALYSIS AND MODELLING SEMANTICS OF TEXTUAL CONTENT FOR DIGEST FORMATION

Abstract
This article suggests a method of functional and logistical processing of content as a stage of a content life cycle. Commercial content processing method describes the formation and rubrication of electronic digests, and simplifies a commercial content management technology. The main problems of functional processing of commercial content services were analyzed in this paper. The proposed method provides an opportunity to create information resource processing tools as well as implement commercial content management subsystems. This paper presents the generative grammar application in linguistic modelling and analysis for the textual commercial content. In the given article is functional logistic method of commercial content processing as the content life cycle stage in electronic commerce systems proposed. Description of syntax sentence modelling is applied to automate the processes of analysis and synthesis of texts in natural language. The method of commercial content processing describes the information resources forming in electronic commerce systems and automation technology simplifies the commercial content management. In the given article the main problems of electronic content commerce and functional services of commercial content processing are analyzed. The proposed model gives an opportunity to create an instrument of information resources processing in electronic commerce systems and to implement the subsystem of commercial content formation, management and support.

Keywords:
digest, content, content analysis, content monitoring, content search, information resource, electronic content commerce systems, generative grammar, structured scheme sentences, computer linguistic system.

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