Pizza is a complex product, made from hundreds of parts to satisfy different demands.
An electronic label describes complex products by linking structured data from many sources into knowledge graphs.
Structured data describes aroma, flavor, texture, shape, size, composition, formulation, preparation, purpose, usage and potentially harmful ingredients.
Structured data describes how a product and its ingredients are sourced, processed, preserved and packaged.
Electronic labels represent electronic containers that combine knowledge graphs.
Electronic labels are machine‐readable and add value to machine‐automation and machine‐learning projects.
Electronic labels help authorities control national border and product safety inspections; certify genuine products; expose counterfeit products.
Electronic labels are combined to make new labels for new products, and for new levels of machine‐automation and machine‐learning.
For humans, electronic labels are published and spoken in 27 natural languages.
For scanners, electronic labels are served using Quick Response codes.
For computers, electronic labels are served from Uniform Resource Identifiers.
- Biograph Summary using pre-defined directives
- Ontologies define facts about things and relationships among things.
- Graph Kits use ontologies to define things that are closely related.
- Products and product components are defined using Graph Kits and presented using Electronic Labels.
- Electronic Labels provide intake data for your Biograph.
- Biograph uses Shapes to link intake data with outcome data (sensor or monitor data).
- Biograph uses Forms to present intake and outcome data to users and advisers.
- Biograph uses Footprints to store data in a pod that you control.
- Using that data, you adjust your lifestyles based on your personal choices or expert advice.
- But you control the data and share it on your terms.
- Biograph puts you in charge of making data intensive decisions and sharing your data with apps and people you trust.