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Knowledge vault
2014
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14
Recent years have witnessed a proliferation of large-scale knowledge bases, including Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase the scale even further, we need to explore automatic methods for constructing knowledge bases. Previous approaches have primarily focused on text-based extraction, which can be very noisy. Here we introduce Knowledge Vault, a Web-scale probabilistic knowledge base that combines extractions from Web content (obtained via
doi:10.1145/2623330.2623623
dblp:conf/kdd/0001GHHLMSSZ14
fatcat:5kwa4j623bcyjmvktskea353my