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Context-aware Outstanding Fact Mining from Knowledge Graphs - Leitura de Artigo

Yueji Yang, Yuchen Li, Panagiotis Karras, and Anthony K. H. Tung. 2021. Context-aware Outstanding Fact Mining from Knowledge Graphs. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21). Association for Computing Machinery, New York, NY, USA, 2006–2016. https://doi.org/10.1145/3447548.3467272 ABSTRACT An Outstanding Fact (OF) is an attribute that makes a target entity stand out from its peers. [Diferenciar uma entidade das demais no sentido de identificar atributos e relações que são pouco comuns, que não correspondem ao padrão] However, existing approaches to OF mining: (i) disregard the context in which the target entity appears, hence may report facts irrelevant to that context; and (ii) require relational data, which are often unavailable or incomplete in many application domains. [Contexto é útil para esse tipo de tarefa mas o que é esse contexto?] In this paper, we introduce the novel problem of mining Context-aware Outstandi...