Multipedia

Andrés García-Silva, Max Jakob, Pablo N. Mendes, Christian Bizer
2011 Proceedings of the sixth international conference on Knowledge capture - K-CAP '11  
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can help users to understand the meaning of assertions, and in general improve the user experience with the knowledge base. In this paper we address the problem of how to enrich ontology instances with candidate images retrieved from existing Web search engines. DBpedia has evolved into a major hub in the Linked Data cloud,
more » ... nterconnecting millions of entities organized under a consistent ontology. Our approach taps into the Wikipedia corpus to gather context information for DBpedia instances and takes advantage of image tagging information when this is available to calcúlate semantic relatedness between instances and candidate images. We performed experiments with focus on the paríicularly challenging problem of highly ambiguous ñames. Both methods presented in this work outperformed the baseline. Our best method leveraged context words from Wikipedia. tags from Flickr and type information from DBpedia to achieve an average precisión of 80%.
doi:10.1145/1999676.1999701 dblp:conf/kcap/Garcia-SilvaJMB11 fatcat:5xymh2mozradld4aa35kzxehve