Smart contracts (blockchains, distributed ledgers) and rights management broadly construed are the themes of today's Spotlight Applications. Assigned to A42, Inc (JP), the first application discloses techniques for a use right information processing apparatus that securely manages a use right without using an authentication server and appropriately allowing a valid user to use a device. Assigned to DeepSee.ai, the second application discloses techniques for generating smart contracts that may include a first subsystem to receive a written or verbal contract, and a second subsystem to identify terms of the contract using natural language processing (NLP).
A use right information processing apparatus securely manages a use right without using an authentication server and appropriately allowing a valid user to use a device. The apparatus performs processing related to authentication and authorization for a user to use a device to be controlled using a smart contract. The apparatus stores authentication data shared with a user terminal used by the user and having a different value for each process, receives signature data generated in the user terminal by signing the authentication data using a secret key corresponding to the user, derives a public key corresponding to the secret key from the signature data and the authentication data using an elliptic curve digital signature algorithm, and obtains, using the public key or corresponding identification information, information regarding a use right of the device of the user recorded in advance in association with the public key or the identification information.
A system for generating smart contracts may include a first subsystem to receive a written or verbal contract, and a second subsystem to identify terms of the contract using natural language processing (NLP). The system may additionally include a third subsystem to correlate processed NLP terms of the contract with chaincode in a library, and a fourth subsystem to combine correlated NLP terms to generate a smart contract. Methods of generating a smart contract may include inputting natural language contract terms into a smart contract generation system and identifying the natural language contract terms with a natural language processing system. The method may further include correlating at least some of the contract terms to chaincodes stored in a library, generating chaincodes for any contract terms that do not correlate to any chaincodes stored in the library, and assembling the chaincodes into a smart contract.