Extracting and classification the semi-structured data of web-systems
Date
2018-06-25
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Polytechnic National University
Abstract
The extracting and classification of semi-structured data of websystems
is described. The definition of semi-structured data is given and the
main characteristics are defined. The variety of tasks text information
processing is grouped into the eleven large classes related to the analysis of text
data. The traditional models of knowledge representation are considered. An
algorithm for the web-sources, from which data will to be obtained, ontological
model integrating creating is proposed. The process of data extracting using the
query language to the markup language elements is characterized.
Description
Keywords
semi-structured data, web-system, extracting, classification, ontology
Citation
Pelekh I. Extracting and classification the semi-structured data of web-systems / Irina Pelekh // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 139–145. — (Section II. Intelligent Systems).