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Open Products Facts Insights: Difference between revisions
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# Nobody has had the incentive to abstract circular APIs at planetary level and open them | # Nobody has had the incentive to abstract circular APIs at planetary level and open them | ||
# We can’t scale scoring to 36K categories alone | # We can’t scale scoring to 36K categories alone | ||
==== Complicated data acquisition ==== | |||
==== | ===== Product loose their barcodes after purchase (or never had one) ===== | ||
# We will allow guided search to find your product (or approximate it / create it) | # We will allow guided search to find your product (or approximate it / create it) | ||
## TV >> Sony >> Flat | ## TV >> Sony >> Flat | ||
# We could imagine integration with popular object recognition frameworks | # We could imagine integration with popular object recognition frameworks | ||
==== | ===== Getting REALLY all objects online ===== | ||
* Getting REALLY all objects online (even without a barcode) | * Getting REALLY all objects online (even without a barcode) | ||
** Creating a reusable open object graph | ** Creating a reusable open object graph | ||
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*** Allow association of this QRCode with a barcode, giving extra-benefits for the users | *** Allow association of this QRCode with a barcode, giving extra-benefits for the users | ||
* Grow micro-communities around objects | * Grow micro-communities around objects | ||
==== | ===== Very slow lifecycle ===== | ||
* Food is a "fast moving consumer goods" in the sense that it gets bought, used and discarded quickly, thus increasing the speed of data collection on Open Food Facts | |||
* You don't own 20 TVs in your lifetime, and so core contributors of Open Food Facts will see their impact limited. | |||
* Here's [https://docs.google.com/spreadsheets/d/1p_wGUQlyolvMbXLEQIpMkSiXRQmVM4loJNwVa4wWtoY/edit#gid=0 a spreadsheet analysing that] | |||
==== Collaboratively mapping carbon emissions of 46K categories, starting with top categories ==== | |||
* Carbon emissions assessments exist for many categories already | * Carbon emissions assessments exist for many categories already | ||
* They are not mapped with public knowledge graphs and standard vocabularies, limiting their use | * They are not mapped with public knowledge graphs and standard vocabularies, limiting their use | ||
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* Document unpublished LCA results made by companies & researchers on Wikidata | * Document unpublished LCA results made by companies & researchers on Wikidata | ||
==== | ==== Scaling to 36K goods categories thanks to UN/GS1 Vocabs ==== | ||
* Scaling to 36K goods categories thanks to UN/GS1 Vocabs | * Scaling to 36K goods categories thanks to UN/GS1 Vocabs | ||
** Those describe anything from a rubber duck to surgery instruments | ** Those describe anything from a rubber duck to surgery instruments | ||
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** They provide a foundation for collaborative augmentation around circularity | ** They provide a foundation for collaborative augmentation around circularity | ||
==== | ==== Scoring: We can’t scale scoring to 36K categories alone ==== | ||
* Turn product analysis and deciphering into partner platforms | * Turn product analysis and deciphering into partner platforms | ||
** Creating a bespoke analysis and scoring system for each of 36K categories is a lot of work | ** Creating a bespoke analysis and scoring system for each of 36K categories is a lot of work | ||
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==== A new hope: Large Language Models ==== | ==== A new hope: Large Language Models ==== | ||
* Ability to generate data models | |||
* [https://github.com/openfoodfacts/openfoodfacts-ai/issues/296 Use LLMs to create data models for Open Products Facts categories] | |||
=== 3.Creating the missing open APIs for the Circular Economy === | === 3.Creating the missing open APIs for the Circular Economy === | ||