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Building a Broad Knowledge Graph for Products

机译:为产品构建广泛的知识图表

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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)描述了它们之间的实体和关系;例如,在实体亚马逊和西雅图之间,可以有一个总部_located_at关系。近年来目睹了KG的广泛应用,搜索(例如,通过谷歌和Bing)和问题回答(例如,由Amazon Alexa或Google Home)。在这次谈话中,我们提出了问题:可以为世界上所有产品构建知识图(千克)吗?

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