• synthesis technology e2

  • 2024/07/20
  • 再生時間: 1 分
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synthesis technology e2

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  • https://technology.synthesis.eco.br In our synthetic universe, data from companies' products reaches the secure Graph BD, the person interacts in this BD Graph ZK (Zero Knowledge), chooses the best products (sneakers) for their profile (of use) based on their logs, in the records of friends and sports experts. Once the choice is made, the user will request an anonymous purchase, collect the data they want to keep from their analysis and discard them, or save the data in a database in their profile. The important thing is that the company does not keep any data from our members, everything is protocoled and defined so that interactions and syntheses occur in ZK Graphs owned by people, strange to think that the person has to enter the company's store website (amazon, best buy, nike, etc) if now she can receive everything she needs and make a ZK choice with anonymous purchase. Once the transaction is made, people receive no publicity about anything, as there is no information about the person outside of their Graph Universe. Except in specific and controlled conditions, to be used only for your benefit, as support for medical diagnosis. The HIPAA (Health Insurance Portability and Accountability Act) protocol, long applied in the healthcare sector, is cited here as a reference for use. The development of computational models to support Synthesis solutions is based on the perspective of integral knowledge mapping in a Graph DB. With dynamic interaction, it is possible to create schemas in these Graph DBs supported by the Object Process Methodology defined by Dov Dori from the Israel Institute of Technology, seeking a more meaningful experience for the user who becomes part of the knowledge base construction process in a simple way and intuitive. Multiple viewing perspectives are allowed, providing a real analysis of the data based on its relationships. A fact that would be impossible for great specialists if they were processed by a relational database. This difference motivates the direction of the knowledge synthesis project.

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あらすじ・解説

https://technology.synthesis.eco.br In our synthetic universe, data from companies' products reaches the secure Graph BD, the person interacts in this BD Graph ZK (Zero Knowledge), chooses the best products (sneakers) for their profile (of use) based on their logs, in the records of friends and sports experts. Once the choice is made, the user will request an anonymous purchase, collect the data they want to keep from their analysis and discard them, or save the data in a database in their profile. The important thing is that the company does not keep any data from our members, everything is protocoled and defined so that interactions and syntheses occur in ZK Graphs owned by people, strange to think that the person has to enter the company's store website (amazon, best buy, nike, etc) if now she can receive everything she needs and make a ZK choice with anonymous purchase. Once the transaction is made, people receive no publicity about anything, as there is no information about the person outside of their Graph Universe. Except in specific and controlled conditions, to be used only for your benefit, as support for medical diagnosis. The HIPAA (Health Insurance Portability and Accountability Act) protocol, long applied in the healthcare sector, is cited here as a reference for use. The development of computational models to support Synthesis solutions is based on the perspective of integral knowledge mapping in a Graph DB. With dynamic interaction, it is possible to create schemas in these Graph DBs supported by the Object Process Methodology defined by Dov Dori from the Israel Institute of Technology, seeking a more meaningful experience for the user who becomes part of the knowledge base construction process in a simple way and intuitive. Multiple viewing perspectives are allowed, providing a real analysis of the data based on its relationships. A fact that would be impossible for great specialists if they were processed by a relational database. This difference motivates the direction of the knowledge synthesis project.

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