Recognition of Relevance of Web Resource Content Based on Analysis of Semantic Components

Autor:	Andriy Melnyk, Mykola Dyvak, Adrii Kovbasistyi, Iurii Shcherbiak, Oksana Huhul
Rok vydání:	2019
Předmět:	Structure (mathematical logic) Information retrieval Computer science Realization (linguistics) Relevance (information retrieval) Software system Architecture Web resource Semantics Structuring
Zdroj:	ACIT
DOI:	10.1109/acitt.2019.8779897
Popis:	System that automatically distinguishes structure and builds ontological model of a web resource content is considered in the paper. Models of system functioning are proposed. Architecture for realization of software system for structuring and building of web resource ontological model is developed. An example of developed system application for structuring, recognition and revealing of incorrect and non-reliable information on a website of an organization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4be8d2fe69acc001c013108a27fa78e1 https://doi.org/10.1109/acitt.2019.8779897 Zobrazit plný text záznamu