Knowledge Exploration from Tables on the Web

机译：从网上表格进行知识探索

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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.

机译：网页中的表是知识图的主要来源，因为它们包含摘要信息。由于存在多种表示Web表中信息的方法，因此有效地提取信息并不容易。本文提出了一种从结构化和非结构化网页中提取信息的方法，以及一种将提取的信息转换为知识图的方法。特别是，为了构造韩文知识图，本文介绍了一种方法，该方法用于从以韩文编写的网页中提取大表数据并将其表示为图。

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《International Conference on Web Engineering;International Workshop on Data Science and Knowledge Graph;International Workshop on Knowledge Discovery on the Web;International Workshop on Maturity of Web Engineering Practices》|2019年|27-30|共4页
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Haklae KIM;
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Tabular data; Knowledge graph; Knowledge extraction Knowledge creation;

机译：表格数据;知识图;知识提取知识创造;

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3. Media Reviews: Center for Organizational Learning, Innovation and Knowledge website, Institute for Innovation and Knowledge Management website, and Learning in the Modern Workplace blog [J] . Teresa Rebelo The learning organization . 2017,第4期

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Knowledge Exploration from Tables on the Web

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