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

Paper

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

Published Jul 27, 2020 · Ravi Kiran Selvam, M. Kejriwal

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5

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Abstract

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.

Preprint

Study Snapshot

This study identifies six empirically grounded best practices for using and consuming product-specific schema.org data from the Web Data Commons, highlighting its potential for analytics and downstream applications.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Paper

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

References

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Citations

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