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Building a Broad Knowledge Graph for Products

机译:为产品建立广泛的知识图

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摘要

A knowledge graph (KG) describes entities and relations between them; for example, between entities Amazon and Seattle, there can be a headquarter_located_at relation. Recent years have witnessed broad applications of KG in search (e.g., by Google and Bing) and question answering (e.g., by Amazon Alexa or Google Home). In this talk, we ask the question: Can one build a knowledge graph (KG) for all products in the world?
机译:知识图(KG)描述实体和实体之间的关系;例如,在实体Amazon和Seattle之间,可能存在一个Headquarter_located_at关系。近年来见证了KG在搜索(例如,通过Google和Bing)和问题解答(例如,通过Amazon Alexa或Google Home)中的广泛应用。在本次演讲中,我们提出一个问题:能否为世界上的所有产品建立一个知识图谱(KG)?

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