SaHaRa: Discovering Entity-Topic Associations in Online News

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Krisztian Balog, Maarten de Rijke, Raymond Franz, Hendrike Peetz, Bart Brinkman

Webpage: http://kcap09.stanford.edu/share/posterDemos/169/index.html
Webpage: http://kcap09.stanford.edu/share/posterDemos/169/paper169.pdf
Webpage: https://github.com/lidingpku/iswc-archive/raw/master/paper/iswc-2009-poster/169/paper169.pdf

We present SaHaRa, a system that helps to discover and analyze the relationship between entities and topics in large collections of news articles. We augment entity related search by including semantically related linked open data.

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/poster_demo/169


Explore this resource elsewhere: