What Computers Should Know, Shouldn't Know, and Shouldn't Believe

Gerhard Weikum
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
Automatically constructed knowledge bases (KB's) are a powerful asset for search, analytics, recommendations and data integration, with intensive use at big industrial stakeholders. Examples are the knowledge graphs for search engines (e.g., Google, Bing, Baidu) and social networks (e.g., Facebook), as well as domain-specific KB's (e.g., Bloomberg, Walmart). These achievements are rooted in academic research and community projects. The largest general-purpose KB's with publicly accessible
more » ... ts are BabelNet, DBpedia, Wikidata, and Yago. They contain millions of entities, organized in hundreds to hundred thousands of semantic classes, and billions of relational facts on entities. These and other knowledge and data resources are interlinked at the entity level, forming the Web of Linked Open Data.
doi:10.1145/3041021.3051120 dblp:conf/www/Weikum17 fatcat:p7npy54ugrf4lhtyifiyfa3g3q