Improving Wikipedia with DBpedia

Abstract : DBpedia is the semantic mirror of Wikipedia. DBpedia extracts information from Wikipedia and stores it in a semantic knowledge base. This semantic feature allows complex semantic queries, which could infer new relations that are missing in Wikipedia. This is an interesting source of knowledge to increase Wikipedia content. But, what is the best way to add these new relations following the Wikipedia conventions? In this paper, we propose a path indexing algorithm (PIA) which takes the resulting set of a DBPedia query and discovers the best representative path in Wikipedia. We evaluate the algorithm with real data sets from DBpedia.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00688145
Contributor : Diego Torres <>
Submitted on : Monday, April 16, 2012 - 6:51:24 PM
Last modification on : Thursday, October 10, 2019 - 9:42:06 PM
Long-term archiving on : Tuesday, July 17, 2012 - 2:36:39 AM

File

wk9p06-torres.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-00688145, version 1

Collections

Citation

Diego Torres, Pascal Molli, Hala Skaf-Molli, Alicia Diaz. Improving Wikipedia with DBpedia. SWCS - Semantic Web Collaborative Spaces Workshop 2012 in 21st WWW Conference 2012, Apr 2012, Lyon, France. ⟨hal-00688145⟩

Share

Metrics

Record views

1759

Files downloads

280