Announcing BBYOpen Metis Alpha: Best Buy Product Catalog via Semantic Endpoints
From the post:
Announcing BBYOpen Metis Alpha: Best Buy Product Catalog via Semantic Endpoints
These days, consumers have a rich variety of products available at their fingertips. A massive product landscape has evolved, but sadly products in this enormous and rich landscape often get flattened to just a price tag. Over time, it seems the product value proposition, variety, descriptions, specifics, and details that make up products have all but disappeared. This presents consumers with a "paradox of choice" where misinformed decisions can lead to poor product selections, and ultimately product returns and customer remorse.
To solve this problem, BBY Open is excited to announce the first phase Alpha release of Metis, our semantically-driven product insight engine. As part of a phased release approach, this first release consists of publishing all 500K+ of our active Best Buy products with reviews as RDF-enabled endpoints for public consumption.
This alpha release is the first phase in solving this product ambiguity. With the publishing of structured product data in RDF format using industry accepted product ontologies like GoodRelations, standards from the Semantic Web group at the W3C, and the NetKernel platform, the Metis Alpha gives developers the ability to consume and query structured data via SPARQL (get up to speed with Learning SPARQL by Bob DuCharme), enabling the discovery of insight hidden deep inside the product catalog.
Comments?