Business Knowledge Graph is important to many enterprises today, providing the factual knowledge and structured data that steer many products and make them more intelligent. Despite the welcome outcome, building business KG brings prohibitive issues of deficient structure, multiple modalities and unmanageable quality. In this paper, we advance the practical challenges related to building KG in non-trivial real-world systems. We introduce the process of building an open business knowledge graph (OpenBG) derived from a well-known enterprise. Specifically, we define a core ontology to cover various abstract products and consumption demands, with fine-grained taxonomy and multi-modal facts in deployed applications. OpenBG is ongoing, and the current version contains more than 2.6 billion triples with more than 88 million entities and 2,681 types of relations. We release all the open resources (OpenBG benchmark) derived from it for the community. We also report benchmark results with best learned lessons \url{https://github.com/OpenBGBenchmark/OpenBG}.

翻译：商业知识图对当今许多企业十分重要,它提供了事实知识和结构化数据,指导了许多产品并使其更加智能。尽管取得了令人欢迎的成果,但建设商业知识图带来了结构缺陷、多种模式和难以管理的质量等令人望而却步的问题。在本文件中,我们推进了在非三轨现实世界系统中建设KG的实际挑战。我们引入了从一个众所周知的企业获得的开放商业知识图(OpenBG)的过程。具体地说,我们定义了一个核心本科学,以涵盖各种抽象产品和消费需求,在部署的应用中,有精细的分类学和多模式事实。OpenBG正在进行中,目前版本包含超过26亿个三亿个实体,超过8 800万个实体和2 681种关系。我们为社区释放了从中获得的所有开放资源(OpenBG基准 ) 。我们还报告基准结果,并提供了最佳的经验教训 https://github.com/OpenBenchmark/OpenBG}。