Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-65521-5_106 | ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2017 |
Keywords | Field | DocType |
Information retrieval,Ontology construction,Entity linking | Entity linking,World Wide Web,Information retrieval,Computer science,Folksonomy,Ontology construction | Conference |
Volume | ISSN | Citations |
7 | 2367-4512 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akio Kobayashi | 1 | 4 | 5.73 |
| Hiroki Sakaji | 2 | 30 | 17.97 |
| Masaki Kohana | 3 | 31 | 14.06 |