  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.
