作者: Heiko Paulheim , Petar Ristoski , Benjamin Schäfer
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摘要: Most Linked Data browsers list all facts about an entity in equal manner. In this paper, we present a prototype for identifying unexpected entities, i.e., those that deviate from the expectations. To end, use attribute-wise method anomaly detection, which is also capable of providing qualitative explanations anomalies found. By comparing at hand to reference set similar can provide information on how differs typical patterns found and display together with short explanation.