关于使用Web数据共享中的特定产品Schema.org：一组经验性的最佳实践
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
摘要：
Schema.org近年来经历了高速增长。在HTML页面中嵌入产品的结构化描述现在并不少见，特别是在电子商务网站上。网络数据共享（WDC）项目从公共爬行中的网页中提取了大量schema.org数据，并将其作为大量RDF“知识图谱”提供。这些数据中专门描述产品的部分为研究人员和小公司提供了一个黄金机会，可以利用它进行分析和下游应用。然而，由于这些数据的范围广泛，不清楚这些数据是否可以以原始形式使用。在本文中，我们做了详细的实证研究的产品特定的schema.org数据提供的WDC。我们研究的目标不是简单的分析，而是设计一套基于经验的最佳实践，用于使用和消费WDC产品特定的schema.org数据。我们的研究揭示了六种最佳实践，每一种都通过实验数据和分析得到了证明。
英文摘要：
Schema.org has experienced high growth in recent years. Structured descriptions of products embedded in HTML pages are now not uncommon, especially on e-commerce websites. The Web Data Commons (WDC) project has extracted schema.org data at scale from webpages in the Common Crawl and made it available as an RDF `knowledge graph' at scale. The portion of this data that specifically describes products offers a golden opportunity for researchers and small companies to leverage it for analytics and downstream applications. Yet, because of the broad and expansive scope of this data, it is not evident whether the data is usable in its raw form. In this paper, we do a detailed empirical study on the product-specific schema.org data made available by WDC. Rather than simple analysis, the goal of our study is to devise an empirically grounded set of best practices for using and consuming WDC product-specific schema.org data. Our studies reveal six best practices, each of which is justified by experimental data and analysis.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
