论文标题
传奇：一个规模持续构建和知识的平台
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
论文作者
论文摘要
我们介绍了Saga，这是一个下一代知识构建和服务平台，用于以工业规模为基于知识的应用供电。 SAGA遵循混合批处理的设计，以不断整合有关现实世界实体的数十亿个事实，并构建了一个中心知识图，该图表支持多个生产用例，这些用例围绕数据新鲜度，准确性和可用性有多种要求。在本文中，我们讨论了与知识图在工业规模上相关的独特挑战，并回顾了传奇的主要组成部分及其如何应对这些挑战。最后，我们分享了由Saga提供的各种生产用例中学的课程。
We introduce Saga, a next-generation knowledge construction and serving platform for powering knowledge-based applications at industrial scale. Saga follows a hybrid batch-incremental design to continuously integrate billions of facts about real-world entities and construct a central knowledge graph that supports multiple production use cases with diverse requirements around data freshness, accuracy, and availability. In this paper, we discuss the unique challenges associated with knowledge graph construction at industrial scale, and review the main components of Saga and how they address these challenges. Finally, we share lessons-learned from a wide array of production use cases powered by Saga.
