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Schema.org has experienced high growth in recent years. Structureddescriptions of products embedded in HTML pages are now not uncommon,especially on e-commerce websites. The Web Data Commons (WDC) project hasextracted schema.org data at scale from webpages in the Common Crawl and madeit available as an RDF `knowledge graph' at scale. The portion of this datathat specifically describes products offers a golden opportunity forresearchers and small companies to leverage it for analytics and downstreamapplications. Yet, because of the broad and expansive scope of this data, it isnot evident whether the data is usable in its raw form. In this paper, we do adetailed empirical study on the product-specific schema.org data made availableby WDC. Rather than simple analysis, the goal of our study is to devise anempirically grounded set of best practices for using and consuming WDCproduct-specific schema.org data. Our studies reveal six best practices, eachof which is justified by experimental data and analysis.

On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices