Taming news streams with linked data

Research Challenges in Information Science(2015)

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摘要
The use of smartphones and tablets has increased significantly in the past years and changed the way we consume news. In this paper, we will describe a news stream aggregating system that automatically recognize and disambiguate geo spatial and meaning bearing entities in news text. The system utilizes the entity definitions and associations in WikiData and Geonames to build a semantic representation of the underlying news text. Its mobile user interface allows users to explore news story clusters on an interactive map and retrieve local news streams for any region of the world.
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关键词
component, Recommender system, news, mobile, natural language processing, named entity disambiguation
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