OceanDocTagPatentSpecific
OceanBook SearchGoogleApi.ContentWarehouse.V1.Model.OceanDocTagPatentSpecific
SEO Analysis
AI GeneratedRelated to Google Books search features. This model (Ocean Doc Tag Patent Specific) contains 11 attributes that define its data structure. Key functionality includes: this is in ONIX format.
Actionable Insights for SEOs
- Understanding this model helps SEOs grasp Google's internal data architecture
- Consider how this system might interact with other ranking signals
Attributes
11applicationDatestringnilFull type: String.tthis is in ONIX format.
contentLanguagestringnilFull type: String.t2-letter language of the document such as "en" or "fr" This field was created for plumbing in the OFE API intl patent flow, and is probably not otherwise filled in.
docTypeinteger(nildocumentNumberstringnilFull type: String.tJust the number, no bibkey prefix. Called 'doc number' b/c it could be patent number for patents, application number for applications.
domesticClassificationstringnilFull type: list(String.tUS and Int'l patent classification codes for "related patents".
internationalClassificationstringnilFull type: list(String.tissueDatestringnilFull type: String.tthis is in ONIX format.
patentAssigneestringnilFull type: String.tpublicationNumberstringnilFull type: String.tFor applications, the 'publication number' Something like US20071234567A1: 'US' prefix, 4 digit year, 7 digit serial number, 2 character code, all stuck together.
relativeThumbnailPathstringnilFull type: String.tPath identifying the image used for the thumbnail of this patent. e.g. "EP1234567B1/imgf0001.png" The client is expected to fill in the rest of the url such as: https://patentimages.storage.googleapis.com/thumbnails/EP1234567B1/imgf0001.png
tenCharUsClassificationstringnilFull type: list(String.t