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...

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Bibliographic Details
Published inCurrent Trends in Web Engineering pp. 27 - 30
Main Author Kim, Haklae
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Knowledge creation
Knowledge extraction
Knowledge graph
Tabular data
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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