Discovering Wikipedia Conventions Using DBpedia Properties
Wikipedia is a public and universal encyclopedia where contributors edit articles collaboratively. Wikipedia infoboxes and categories have been used by semantic technologies to create DBpedia, a knowledge base that semantically describes Wikipedia content and makes it publicly available on the Web....
| Autores principales: | , , , |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Español |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/127044 |
| Aporte de: |
| id |
I19-R120-10915-127044 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Español |
| topic |
Ciencias Informáticas Semantic web Social web DBpedia Wikipedia Collaborative Recommender Systems |
| spellingShingle |
Ciencias Informáticas Semantic web Social web DBpedia Wikipedia Collaborative Recommender Systems Torres, Diego Skaf-Molli, Hala Molli, Pascal Díaz, Alicia Discovering Wikipedia Conventions Using DBpedia Properties |
| topic_facet |
Ciencias Informáticas Semantic web Social web DBpedia Wikipedia Collaborative Recommender Systems |
| description |
Wikipedia is a public and universal encyclopedia where contributors edit articles collaboratively. Wikipedia infoboxes and categories have been used by semantic technologies to create DBpedia, a knowledge base that semantically describes Wikipedia content and makes it publicly available on the Web. Semantic descriptions of DBpedia can be exploited not only for data retrieval, but also for identifying missing navigational paths in Wikipedia. Existing approaches have demonstrated that missing navigational paths are useful for the Wikipedia community, but their injection has to respect the Wikipedia convention. In this paper, we present a collaborative recommender system approach named BlueFinder, to enhance Wikipedia content with DBpedia properties. BlueFinder implements a supervised learning algorithm to predict the Wikipedia conventions used to represent similar connected pairs of articles; these predictions are used to recommend the best conventions to connect disconnected articles. We report on an exhaustive evaluation that shows three remarkable elements: 1 The evidence of a relevant information gap between DBpedia and Wikipedia; 2 Behavior and accuracy of the BlueFinder algorithm; and 3 Differences in Wikipedia conventions according to the specificity of the involved articles. BlueFinder assists Wikipedia contributors to add missing relations between articles, and consequently, it improves Wikipedia content. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Torres, Diego Skaf-Molli, Hala Molli, Pascal Díaz, Alicia |
| author_facet |
Torres, Diego Skaf-Molli, Hala Molli, Pascal Díaz, Alicia |
| author_sort |
Torres, Diego |
| title |
Discovering Wikipedia Conventions Using DBpedia Properties |
| title_short |
Discovering Wikipedia Conventions Using DBpedia Properties |
| title_full |
Discovering Wikipedia Conventions Using DBpedia Properties |
| title_fullStr |
Discovering Wikipedia Conventions Using DBpedia Properties |
| title_full_unstemmed |
Discovering Wikipedia Conventions Using DBpedia Properties |
| title_sort |
discovering wikipedia conventions using dbpedia properties |
| publishDate |
2016 |
| url |
http://sedici.unlp.edu.ar/handle/10915/127044 |
| work_keys_str_mv |
AT torresdiego discoveringwikipediaconventionsusingdbpediaproperties AT skafmollihala discoveringwikipediaconventionsusingdbpediaproperties AT mollipascal discoveringwikipediaconventionsusingdbpediaproperties AT diazalicia discoveringwikipediaconventionsusingdbpediaproperties |
| bdutipo_str |
Repositorios |
| _version_ |
1764820451160227842 |