This paper reconstructs the Freebase data dumps to understand the underlying ontology behind Google's semantic search feature. The Freebase knowledge base was a major Semantic Web and linked data technology that was acquired by Google in 2010 to support the Google Knowledge Graph, the backend for Google search results that include structured answers to queries instead of a series of links to external resources. After its shutdown in 2016, Freebase is contained in a data dump of 1.9 billion Resource Description Format (RDF) triples. A recomposition of the Freebase ontology will be analyzed in relation to concepts and insights from the literature on classification by Bowker and Star. This paper will explore how the Freebase ontology is shaped by many of the forces that also shape classification systems through a deep dive into the ontology and a small correlational study. These findings will provide a glimpse into the proprietary blackbox Knowledge Graph and what is meant by Google's mission to "organize the world's information and make it universally accessible and useful".
翻译:本文重建了Freebase数据堆放, 以了解Google的语义搜索功能背后的基本本体学。 Freebase知识库是Google2010年为支持Google知识图而获得的主要语义网络和链接数据技术,这是谷歌搜索结果的后端,其中包括对查询的结构性回答,而不是与外部资源的一系列链接。在2016年关闭后, Freebase包含在19亿资源描述格式(RDF)的三重数据堆放中。 Freebase知识库的重新组合将结合Bowker和Star分类文献的概念和洞察力进行分析。 本文将探讨Freebase肿瘤学是如何由许多力量形成的,这些力量也通过深入潜入本体和小型相关研究来塑造分类系统。 这些发现将为专有的黑盒知识图提供一览, 以及谷歌的使命意味着“ 组织世界信息并使其普遍获得和有用 ” 。