The Future of E-Commerce Data Interpretation: Semantic Markup, or Computer Vision?
How will webpage data be interpreted in the next few years? The Semantic Web community has high hopes for ever evolving semantic standards to help systems identify and extract rich data found on the web, ultimately making it more useful. With the announcement of Schema.org support for GoodRelations in November, it seems clear semantic progress is now being made on the e-commerce front, and at an accelerated rate. Martin Hepp, founder of GoodRelations, estimates the rate of adoption of rich, structured e-commerce data to significantly increase this year.
However, Mike Tung, founder and CEO of a data parsing service called DiffBot, has less faith that the standards necessary for a true Semantic Web will ever be completely and effectively implemented. In an interview on Xconomy he states that for semantic standards to work correctly content owners must markup the content once for the web and a second time for the semantic standards. This requires extra work, and affords them the opportunity to perform content stuffing (SEO spam).



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