A Method for Extracting Correct Links from Automatic Created Links on Folksonomy

被引：0
|
作者：
Kobayashi, Akio [1 ]
Sakaji, Hiroki [2 ]
Kohana, Masaki [3 ]
机构：
[1] Toyohashi Univ Technol, Toyohashi, Aichi, Japan
[2] Univ Tokyo, Bunkyo Ku, Tokyo, Japan
[3] Ibaraki Univ, Hitachi, Ibaraki, Japan
来源：
ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2017 | 2018年 / 7卷
关键词：
Information retrieval; Ontology construction; Entity linking;
D O I：
10.1007/978-3-319-65521-5_106
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A folksonomy is a system to classify an online item/concept by a short text label as a tag that is applied by users. Many folksonomies include many tags that consist words of long-tail contents. To explain these tags, A wiki-like system provided by some folksonomy services for user understanding. These systems provide a function that creates a link to another article automatically that described in an article for enriching the articles. The cause of the automatic link construction function, those wiki-like systems includes many incorrect links. By these incorrect links, it is hard to use the systems for applications that use Wikipedia internal links. Therefore, we propose a method for extracting correct links from all of the automatically created links.
引用
收藏
页码：1144 / 1150
页数：7
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