Knowledge Exploration from Tables on the Web
Tables in Web pages are the main source of knowledge graphs because they contain summarised information. Since there are various ways to represent information in web tables, it is not easy to extract information efficiently. This paper proposes a method for extracting information from structured and...
Saved in:
Published in | Current Trends in Web Engineering pp. 27 - 30 |
---|---|
Main Author | |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
|
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Tables in Web pages are the main source of knowledge graphs because they contain summarised information. Since there are various ways to represent information in web tables, it is not easy to extract information efficiently. This paper proposes a method for extracting information from structured and unstructured web pages and a method for converting the extracted information into a knowledge graph. In particular, in order to construct a Korean knowledge graph, this paper introduces a method for extracting large table data from web pages that are written in Korean and expressing it in a graph. |
---|---|
ISBN: | 9783030512521 3030512525 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-030-51253-8_5 |