BlueFinder: recommending wikipedia links using DBpedia properties

Authors:
Diego Torres;Hala Skaf-Molli;Pascal Molli;Alicia Díaz
Affiliations:
Informática, UNLP, Argentina;LINA, Nantes University, Houssiniere, Nantes, France;LINA, Nantes University, Houssiniere, Nantes, France;Informática, UNLP, Argentina
Venue:
Proceedings of the 5th Annual ACM Web Science Conference
Year:
2013

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Abstract

DBpedia knowledge base has been built from data extracted from Wikipedia. However, many existing relations among resources in DBpedia are missing links among articles from Wikipedia. In some cases, adding these links into Wikipedia will enrich Wikipedia content and therefore will enable better navigation. In previous work, we proposed PIA algorithm that predicts the best link to connect two articles in Wikipedia corresponding to those related by a semantic property in DBpedia and respecting the Wikipedia convention. PIA calculates this link as a path query. After introducing PIA results in Wikipedia, most of them were accepted by the Wikipedia community. However, some were rejected because PIA predicts path queries that are too general. In this paper, we report the BlueFinder collaborative filtering algorithm that fixes PIA miscalculation. It is sensible to the specificity of the resource types. According to the conducted experimentation we found out that BlueFinder is a better solution than PIA because it solves more cases with a better recall.