WO2020177297A1 - Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique - Google Patents

Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique Download PDF

Info

Publication number
WO2020177297A1
WO2020177297A1 PCT/CN2019/106871 CN2019106871W WO2020177297A1 WO 2020177297 A1 WO2020177297 A1 WO 2020177297A1 CN 2019106871 W CN2019106871 W CN 2019106871W WO 2020177297 A1 WO2020177297 A1 WO 2020177297A1
Authority
WO
WIPO (PCT)
Prior art keywords
intellectual property
user
transaction
property rights
distributed ledger
Prior art date
Application number
PCT/CN2019/106871
Other languages
English (en)
Chinese (zh)
Inventor
钟山
Original Assignee
钟山
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 钟山 filed Critical 钟山
Priority to PCT/CN2019/106871 priority Critical patent/WO2020177297A1/fr
Priority to CN201980006028.7A priority patent/CN111566691A/zh
Publication of WO2020177297A1 publication Critical patent/WO2020177297A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services; Handling legal documents
    • G06Q50/184—Intellectual property management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/02—Payment architectures, schemes or protocols involving a neutral party, e.g. certification authority, notary or trusted third party [TTP]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services; Handling legal documents

Definitions

  • the embodiments of the present invention relate to the field of computer technology, and more specifically, the embodiments of the present invention relate to an intellectual property value management and operation method, device, medium, and computing equipment.
  • Blockchain is called distributed ledger technology, which is an Internet database technology, which is characterized by decentralization, openness and transparency, and allows everyone to participate in database records.
  • Blockchain technology uses block chain data structures to verify and store data, uses distributed node consensus algorithms to generate and update data, uses cryptography to ensure the security of data transmission and access, and uses intelligence composed of automated script codes.
  • a new distributed infrastructure and computing paradigm that uses contracts to program and manipulate data.
  • Blockchain technology itself has many advantages. On the one hand, since the blockchain network can achieve self-restraint through algorithms, any malicious deception system behavior will be rejected and inhibited by other nodes in the network. Therefore, the blockchain system does not need to rely on With the support of the central authority and credit endorsement, secure online transactions can be realized.
  • the embodiments of the present invention expect to provide an intellectual property value management and operation method, device, medium and computing device.
  • an intellectual property value management and operation method including:
  • the method further includes:
  • a digital identity is constructed for each user, and transactions are performed based on the digital identity of the user, wherein when the transaction is completed, the ownership of intellectual property rights and rewards are recorded in the distributed ledger based on the digital identity of the user.
  • the transaction requirement is uploaded by the second user.
  • the method further includes:
  • the transaction requirement is obtained based on data analysis uploaded by the second user.
  • the transaction requirement is obtained based on data analysis uploaded by the first user.
  • the transaction demand is obtained by analyzing the data uploaded by the user based on a preset demand analysis model, wherein the demand analysis model is established based on a deep neural network.
  • the preset demand analysis model is also configured to be automatically updated iteratively based on expert correction.
  • the intellectual property rights involved in the data uploaded by the first user are analyzed through a preset data model, and a basic reward is set for the intellectual property rights.
  • the data type of the intellectual property rights of the first user includes at least one of image, text, video, and audio.
  • the authorization of the first user to the intellectual property rights includes at least an authorization scope and an authorization period.
  • the reward settlement further includes:
  • the final reward is determined according to the reward settlement weight and the basic reward of the intellectual property for reward settlement.
  • the method further includes:
  • a user involves at least one node in the distributed ledger.
  • each node in the distributed ledger adopts a Byzantine fault-tolerant algorithm to reach a consensus.
  • the matching between the user's intellectual property rights and needs is performed based on a preset transaction matching model.
  • the transaction matching model is constructed based on artificial intelligence.
  • the transaction matching model includes at least one of a Bayesian network, a reinforcement learning model, a deep learning model, and a generative confrontation network.
  • the user's intellectual property rights and rewards are processed through a distributed ledger, and a decentralized empowering community is established to certify users' intellectual property rights.
  • multilateral transaction matching is performed in the community based on the intellectual property rights recorded in the distributed ledger.
  • multilateral transaction matching is performed in the community.
  • the smart contract preset on the distributed ledger automatically executes corresponding operations to complete the change of intellectual property rights and reward settlement.
  • an intellectual property value management and operation device including:
  • the intellectual property acquisition module is configured to acquire the intellectual property rights recorded in the distributed ledger of at least one first user, wherein the intellectual property rights are obtained by analyzing data uploaded by the first user;
  • the transaction matching module is configured to match the intellectual property rights of at least one second user and at least one of the first users based on transaction requirements;
  • the transaction push module is configured to initiate a transaction invitation to the matched two parties, wherein when the invitation is made, based on the type of the first user’s intellectual property rights, the first user’s authorization of the intellectual property rights is obtained and the second The user performs the corresponding display;
  • the transaction settlement module is configured to complete the change of intellectual property rights and reward settlement in response to the authorization of the transaction by the matching parties;
  • the device further includes:
  • the digital identity building module is configured to construct a digital identity for each user and conduct transactions based on the user’s digital identity. When the transaction is completed, intellectual property rights and rewards are recorded in the distributed ledger based on the user’s digital identity. Attribution.
  • the transaction requirement is uploaded by the second user.
  • the device further includes:
  • the license authorization obtaining module is configured to obtain the user's permission to use the data when receiving the data uploaded by the user.
  • the transaction requirement is obtained based on data analysis uploaded by the second user.
  • the transaction requirement is obtained based on data analysis uploaded by the first user.
  • the transaction demand is obtained by analyzing the data uploaded by the user based on a preset demand analysis model, wherein the demand analysis model is established based on a deep neural network.
  • the preset demand analysis model is also configured to be automatically updated iteratively based on expert correction.
  • the intellectual property analysis module is further configured to analyze the intellectual property involved in the data uploaded by the first user through a preset data model, and set a basic reward for the intellectual property.
  • the intellectual property analysis module includes:
  • the intellectual property analysis unit is configured to analyze all intellectual property rights involved in the data uploaded by the first user;
  • the intellectual property classification unit is configured to classify all intellectual property rights of the first user
  • the basic reward distribution unit is configured to grant corresponding basic rewards based on the type of intellectual property.
  • the data type of the intellectual property rights of the first user includes at least one of image, text, video, and audio.
  • the authorization of the first user to the intellectual property rights includes at least an authorization scope and an authorization period.
  • the transaction settlement module includes:
  • the reward settlement weight determination unit is configured to determine the reward settlement weight based on the authorization range and the authorization period of the first user of the intellectual property;
  • the reward settlement unit is configured to determine a final reward for reward settlement according to the reward settlement weight and the basic reward of the intellectual property.
  • the device further includes an authorization monitoring module configured to monitor the authorization period of the intellectual property rights authorized by the first user after the transaction is completed; and
  • a user involves at least one node in the distributed ledger.
  • each node in the distributed ledger adopts a Byzantine fault-tolerant algorithm to reach a consensus.
  • the matching between the user's intellectual property rights and needs is performed based on a preset transaction matching model.
  • the transaction matching model is constructed based on artificial intelligence.
  • the transaction matching model includes at least one of a Bayesian network, a reinforcement learning model, a deep learning model, and a generative confrontation network.
  • the device processes the user's intellectual property rights and rewards through a distributed ledger, establishes a decentralized enabling community, and certifies the user's intellectual property rights.
  • the device further includes:
  • the promotion contribution recording module is configured to record the contribution made by the third user to the promotion operation of the intellectual property in the community in the distributed ledger;
  • the promotion reward settlement module is configured to allocate corresponding promotion rewards to the third user based on the third user's contribution when the transaction of the intellectual property is completed.
  • the transaction matching module is further configured to perform multilateral transaction matching in the community based on the intellectual property recorded in the distributed ledger in response to a user's selection or authorization.
  • the transaction matching module is further configured to perform multilateral transaction matching in the community for specific types of intellectual property rights recorded in the distributed ledger.
  • the smart contract preset on the distributed ledger automatically executes corresponding operations to complete the change of intellectual property rights and reward settlement.
  • a computer-readable storage medium storing program code, and the program code, when executed by a processor, implements the method according to any one of the embodiments of the first aspect .
  • a computing device including a processor and a storage medium storing program code, the program code when being executed by the processor implements any of the embodiments of the first aspect The method described.
  • the user’s data is empowered by analyzing the intellectual property involved in the user’s data; and the user’s intellectual property is processed through a distributed ledger And rewards, establish a decentralized empowering community, and certify users’ intellectual property rights, so that users’ data rights are well protected.
  • Fig. 1 shows a schematic flow chart of an intellectual property value management and operation method according to an embodiment of the present invention
  • FIG. 2 shows a schematic diagram of modules of an intellectual property value management and operation device according to an embodiment of the present invention
  • Fig. 3 shows a schematic diagram of a computing device according to an embodiment of the present invention
  • this embodiment proposes an intellectual property value management and operation method to digitize the company’s assets and construct a factor model with intellectual property as the core ( ⁇ factor). Based on the changes in the company’s intellectual property rights, it affects product sales and market Risks, corporate valuation and other aspects, and then determine the value of corporate assets (including intangible assets and physical assets, etc.) for related transactions.
  • the following describes an intellectual property value management and operation method according to an exemplary embodiment of the present invention with reference to FIG. 1.
  • the intellectual property value management and operation method includes:
  • Step S110 Obtain the intellectual property rights recorded in the distributed ledger of at least one first user, wherein the intellectual property rights are obtained by analyzing data uploaded by the first user;
  • the intellectual property rights involved in the user’s data can be analyzed and recorded in the distributed ledger to provide effective protection for the user’s data, for example, for the user’s original data and/or Once the intellectual property rights are recorded in the distributed ledger, when facing infringement disputes in the future, it can be very simple and convenient to provide traceability channels, and after analyzing the user's data, it is also convenient to empower the user's data.
  • the data uploaded by the (first) user can be analyzed first to determine the intellectual property rights involved, and then recorded in the distributed ledger.
  • the data uploaded by the user When data, the user's permission to use the data will also be obtained, that is, the method proposed in the present invention will confirm whether the data uploaded by the user is authorized for analysis, disclosure and transaction, and only the data authorized by the user will be analyzed , And then open and trade on the corresponding platform.
  • the intellectual property rights involved in the data uploaded by the first user are analyzed through a preset data model, and basic rewards are set for the intellectual property rights.
  • the data uploaded by the first user is analyzed All intellectual property rights involved in the data; classify all intellectual property rights of the first user; assign corresponding basic rewards based on the type of intellectual property rights; then record in the distributed ledger, for example, user A uploads a large amount of data at once.
  • the data includes user A’s industrial property data information (such as patents and trademarks owned by the user), as well as recent photos and edited videos.
  • the data to the user's industrial property rights is divided into one category, and the data related to digital works is divided into one category, and then based on preset rules, the corresponding basic rewards are given to them according to the type of intellectual property rights, and finally recorded in the distributed ledger.
  • classification of users’ intellectual property rights is not limited to the ones listed in the above embodiments. It can also be a more detailed classification, such as dividing users’ intellectual property rights into personal patents (including invention patents). , Utility model patents and appearance patents), trademarks (which can include trademarks of different countries and regions or different types of trademarks), works (which can include images, videos, audio, text, etc.), etc. It should be noted that each The sub-categories can be further classified, which will not be illustrated by examples here. In addition, in other embodiments of the present embodiment, other classifications can be made according to actual conditions, which is not limited in the present invention.
  • different valuation models can be used for pricing, and for the same intellectual property, multiple different valuation models can be used for multiple pricing, and then aggregated based on the multiple pricing obtained
  • different valuation models may be applicable to different scenarios, that is, in different application scenarios, the value of the same intellectual property is also different. Therefore, it can be based on the specific The scenario uses a corresponding valuation model to determine the value of intellectual property.
  • the transaction method selected by the user when receiving the data or intellectual property uploaded by the user, the transaction method selected by the user is obtained.
  • the transaction method includes transfer, license use, pledge financing, etc.
  • the above transaction methods are also acceptable Including more specific restrictions on transaction conditions, which are not specifically limited in this embodiment.
  • the corresponding valuation model is determined according to the corresponding transaction method, and then the The basic rewards of intellectual property rights.
  • the user's choice of the transaction method for the intellectual property owned by the user can be made when the user uploads the data or intellectual property rights, or can be carried out at any time after analyzing the intellectual property rights involved in the user's data or can also
  • the user can also select a transaction method for some or all of the intellectual property rights that he owns. That is, in an embodiment of this embodiment, some default transaction methods for intellectual property rights can be preset , The user can make adjustments based on the default selection, or use the default selection as a transaction method for the intellectual property owned by him. That is, in this embodiment, the user can be provided with an evaluation model that meets the current transaction (purpose) scenario for the user to choose.
  • the user may not upload all the industrial property data information when uploading the data, but the industrial property data information uploaded by the user itself includes the user's identity information, or the user uploads only the user's identity information when uploading the data And works, based on the user’s identity information, this method can also search in an open authoritative database to obtain the user’s industrial property information.
  • this method can also use blockchain technology to distribute encryption and store user data to protect users’ privacy in the Internet; use encryption technology and electronic signature technology to store work information and DCI codes (digital copyright only Identifier), it is understandable that the DCI system can also provide rights protection services such as patent licensing, transfer, monitoring and evidence collection.
  • step S120 can be executed to match the intellectual property rights of at least one second user and at least one of the first users based on transaction requirements;
  • the transaction demand can be uploaded by the second user, or can be obtained based on the analysis of data uploaded by the second user.
  • the transaction demand can be obtained by analyzing the data uploaded by the user based on a preset demand analysis model.
  • the transaction requirements where the demand analysis model is established based on a deep neural network, for example, the second user uploads the project that he wants to implement, the demand analysis model can automatically determine the required project according to the project’s implementation goal Material requirements are then matched based on the requirements with the intellectual property rights stored in the distributed ledger (the transaction requirements can be based on a preset transaction matching model, which is constructed based on artificial intelligence and includes at least Bayesian Network, reinforcement learning model, deep learning model and generative confrontation network), determine whether there is intellectual property (data) that meets the requirements, and the data uploaded by the second user may not be specific to be implemented
  • the project is only the business status or R&D direction of the enterprise itself.
  • the demand analysis model can give the corresponding project direction and the material requirements for implementing the project based on the business status or R&D direction of the enterprise.
  • the intellectual property rights stored in the distributed ledger are matched to determine whether there are intellectual property rights (data) that meet the requirements.
  • the present invention can also securitize the user’s intellectual property rights based on blockchain technology, helping users to use the future licensing fees (including expected intellectual property licensing fees and The signed license contract guarantees the payment of royalties) as support, issuing asset securities for financing, that is, the transaction demand at this time is investment demand and/or financing demand, when the transaction demand is financing demand, it comes from the knowledge provided in the transaction The party of property rights.
  • the financing needs of users can be dynamically divided to match different investors to pledge intellectual property rights.
  • Financing for example, the first user A owns one or more intellectual property rights and needs to pledge some or all of them for financing of xxxxx million yuan. In this case, it can be dynamically matched based on the pricing of the above intellectual property rights to match it with multiple investments
  • the parties perform transaction demand matching, that is, at this time, the intellectual property pledge financing of the first user A involves multiple transactions.
  • portfolio management can be performed based on the user's investment needs.
  • assets can be diversified according to asset selection theory and portfolio theory. In order to realize the investment purpose of diversifying risks and improving efficiency.
  • the demand analysis model also needs to be iteratively updated to adapt to the current social environment.
  • the preset demand analysis model is also configured to automatically update iteratively based on expert correction, which is similar to supervised learning, that is, the demand analysis model can be automatically updated and iteratively trained under expert correction To adapt to the current application scenarios.
  • step S130 can be executed to initiate a transaction invitation to the matched parties;
  • all transaction parties that meet the requirements can be invited to initiate a transaction at the same time.
  • a requirement is obtained by analyzing the data of the second user a, and then matching is performed based on the requirement, and it is found that the requirement is met.
  • the transaction invitation for which the second user has clear transaction requirements can directly display the intellectual property rights that meet the transaction requirements
  • Step S140 in response to the authorization of the matching parties for the transaction, complete the change of the rights of the intellectual property rights and the reward settlement;
  • both parties to the transaction authorize the transaction, the transaction can be completed to complete the intellectual property rights change and reward settlement.
  • the first user A owns the intellectual property a recorded in the distributed ledger
  • the second user B has a transaction requirement that matches the intellectual property a
  • the first user A and the second user B will respectively initiate a transaction invitation for the transaction of the intellectual property a
  • the transaction based on the first user A and the second user B
  • the response determines whether to conduct the transaction. If one of the two does not agree to the transaction, the transaction fails.
  • the change of the rights of the intellectual property rights and the reward settlement are completed.
  • the reward settlement includes:
  • the transaction reward of the intellectual property is determined based on the basic reward of the intellectual property and the authorization scope and the authorization period of the first user to the intellectual property.
  • the intellectual property is a work
  • the corresponding basic reward is 100.
  • the first user’s authorization scope for the said intellectual property rights is only to grant the use right and the authorization period is 1 year
  • the respective reward coefficients can be determined according to the authorization scope and authorization period (the settlement coefficient of the right to use the work is 0.6, the authorization period
  • the reward coefficient for a period of 1 year is 1), and then the reward settlement weight is determined according to the reward coefficients of the two, for example, the reward settlement weight of the two is directly multiplied to obtain the final reward settlement weight.
  • the reward coefficients determined according to the authorization scope and authorization period may be independent of each other or not, that is, when determining the reward coefficient of the authorization scope and the authorization period, the two can be mutually independent. Influence, there are multiple mapping relationships; or the two may not influence each other, and are only related to their own values, which is not limited in the present invention.
  • the final reward is determined according to the reward settlement weight and the basic reward of the intellectual property for reward settlement.
  • step S150 the completed transaction is recorded on the distributed ledger.
  • a digital identity is constructed for each user, and transactions are performed based on the user’s digital identity.
  • the transaction is completed, the attribution of intellectual property rights and rewards is recorded in the distributed ledger based on the user's digital identity.
  • the authorization period of the intellectual property rights authorized by the first user is monitored
  • all the transaction rules in the community are jointly made by all users. Specifically, one user may involve For one or more nodes in the distributed ledger, each section has the same decision-making power. When a decision of a certain transaction is needed, all nodes need to do it together, and only the opinions of more than a certain proportion or number of nodes are relevant. At the same time, it is determined to implement the transaction (each node in the distributed ledger adopts a Byzantine fault-tolerant algorithm to reach a consensus).
  • intellectual property rights can also be managed on a family basis.
  • user a and user b are both members of family a, then both user a and user b can act as administrators to manage the intellectual property rights shared by all members of the family.
  • the creation of works by user a and user b as a family as a whole.
  • the family manager can also set this part as family Private intellectual property rights of common assets are managed.
  • each data/intellectual property rights determines the circulation method of the data/intellectual property rights to other users. Specifically, if the user’s authorization for a piece of data owned by him is prohibited from being disclosed, no one except the user can view it. As far as the data is reached, as for the data that is authorized to be disclosed or partially disclosed by the user, corresponding display or disclosure is carried out according to the corresponding authorized scope, that is, the data is both circulated and closed.
  • the first user is an individual user
  • the second user is an enterprise user.
  • each user has inherent attributes (personal or enterprise), it can be in different stages or
  • the transaction center plays different roles, that is, both individual users and corporate users can be buyers and sellers of intellectual property rights. Therefore, in an embodiment of this embodiment, the transaction requirements can also be uploaded or uploaded by the first user. It is obtained by analyzing the data uploaded by the first user, and the intellectual property rights can also be obtained by analyzing the data uploaded by the second user.
  • the users of the present invention are not limited to individuals and enterprises, but also supply chains and financial institutions. That is, the present invention can provide value matching for the cooperation between inventors, enterprises, supply chains and financial institutions. .
  • a distributed ledger is used to process users’ intellectual property rights and rewards, to establish a decentralized enabling community, and to certify users’ intellectual property rights to promote multilateral matching transactions of intellectual property rights.
  • part or all of the user’s intellectual property rights can be put into the intellectual property pool (a large number of intellectual property rights belonging to multiple organizations or individuals) In the intellectual property set), the operation and promotion of intellectual property rights are carried out.
  • the user’s intellectual property rights can be published, shared, forwarded, and promoted in a similar manner to Weibo.
  • corresponding rewards will be allocated based on the user’s promotion contribution to motivate users.
  • user A publishes intellectual property a in the intellectual property pool
  • user B browses to intellectual property a, Share (contribution degree + 10), forward (contribution degree + 5), collect (contribution degree +1), like (contribution degree +1), then match the corresponding transaction demand user C in intellectual property a, and
  • the corresponding reward can be allocated to user B based on the promotion contribution made by user B.
  • the contribution degree in the above example is only exemplary data, and the contribution degree calculation method of the present invention is not Limited to this, the corresponding contribution calculation weight can also be given based on the user's promotion attribute information (such as the number of fans or authority), that is, the user's promotion contribution to a certain intellectual property is the basic contribution of the promotion operation combined with the contribution calculation weight calculation get.
  • the user's promotion attribute information such as the number of fans or authority
  • users can be gathered to form a discussion based on their transaction purposes, that is, the community can be divided into sections based on the purpose of transactions, and different sections conduct different transaction matching. And communicate and discuss.
  • the relevant residual value pricing, promotion and transaction matching methods are similar to the intellectual property pricing, promotion and transaction matching methods in the foregoing embodiment, and will not be described in detail in this embodiment.
  • the smart contract preset on the distributed ledger is automatically executed
  • the smart contract can be obtained based on pre-analysis of various types of business, that is, for each type of business (each type of business is at least used to process rewards, intellectual property and One of the user’s identity information) can be analyzed to obtain a corresponding set of smart contracts.
  • the construction of a user’s digital identity can be based on a pre-set smart contract on the distributed ledger, and the analysis and pricing of intellectual property rights can also be performed.
  • the smart contract can run automatically when certain conditions are met, and the smart contract consists of all or part of the nodes in the distributed ledger (the distributed Byzantine fault-tolerant algorithm is adopted between each node in the ledgers to reach a consensus) and jointly vote (a user involves at least one node in the distributed ledgers) to decide whether to record in the distributed ledgers to achieve community autonomy.
  • the present invention also provides an intellectual property value management and operation device, including:
  • the intellectual property acquisition module 210 is configured to acquire the intellectual property rights recorded in the distributed ledger of at least one first user, wherein the intellectual property rights are obtained by analyzing data uploaded by the first user;
  • the transaction matching module 220 is configured to match the intellectual property rights of at least one second user and at least one of the first users based on transaction requirements;
  • the transaction push module 230 is configured to initiate a transaction invitation to the matched two parties, wherein, when the invitation is made, based on the type of the first user’s intellectual property rights, the first user’s authorization of the intellectual property rights is obtained and the 2. The user performs the corresponding display;
  • the transaction settlement module 230 is configured to complete the change of the rights of the intellectual property rights and the reward settlement in response to the authorization of the transaction by the matching parties;
  • the device further includes:
  • the digital identity building module is configured to construct a digital identity for each user and conduct transactions based on the user’s digital identity. When the transaction is completed, intellectual property rights and rewards are recorded in the distributed ledger based on the user’s digital identity. Attribution.
  • the device processes the user's intellectual property rights and rewards through a distributed ledger, establishes a decentralized enabling community, and certifies the user's intellectual property rights.
  • the transaction requirement is uploaded by the second user.
  • the device further includes:
  • the license authorization obtaining module is configured to obtain the user's permission to use the data when receiving the data uploaded by the user.
  • the transaction requirement is obtained based on data analysis uploaded by the second user.
  • the transaction requirement is obtained based on data analysis uploaded by the first user.
  • the transaction demand is obtained by analyzing the data uploaded by the user based on a preset demand analysis model, wherein the demand analysis model is established based on a deep neural network.
  • the preset demand analysis model is also configured to be automatically updated iteratively based on expert correction.
  • the intellectual property analysis module is further configured to analyze the intellectual property involved in the data uploaded by the first user through a preset data model, and set a basic reward for the intellectual property.
  • the intellectual property analysis module includes:
  • the intellectual property analysis unit is configured to analyze all intellectual property rights involved in the data uploaded by the first user;
  • the intellectual property classification unit is configured to classify all intellectual property rights of the first user
  • the basic reward distribution unit is configured to grant corresponding basic rewards based on the type of intellectual property.
  • the data type of the intellectual property rights of the first user includes at least one of image, text, video, and audio.
  • the authorization of the first user to the intellectual property rights includes at least an authorization scope and an authorization period.
  • the transaction settlement module includes:
  • the reward settlement weight determination unit is configured to determine the reward settlement weight based on the authorization range and the authorization period of the first user of the intellectual property;
  • the reward settlement unit is configured to determine a final reward for reward settlement according to the reward settlement weight and the basic reward of the intellectual property.
  • the device further includes an authorization monitoring module configured to monitor the authorization period of the intellectual property rights authorized by the first user after the transaction is completed; and
  • a user involves at least one node in the distributed ledger.
  • each node in the distributed ledger adopts a Byzantine fault-tolerant algorithm to reach a consensus.
  • the matching between the user's intellectual property rights and needs is performed based on a preset transaction matching model.
  • the transaction matching model is constructed based on artificial intelligence.
  • the transaction matching model includes at least one of a Bayesian network, a reinforcement learning model, a deep learning model, and a generative confrontation network.
  • the device processes the user's intellectual property rights and rewards through a distributed ledger, establishes a decentralized enabling community, and certifies the user's intellectual property rights.
  • the device further includes:
  • the promotion contribution recording module is configured to record the contribution made by the third user to the promotion operation of the intellectual property in the community in the distributed ledger;
  • the promotion reward settlement module is configured to allocate corresponding promotion rewards to the third user based on the third user's contribution when the transaction of the intellectual property is completed.
  • the transaction matching module is further configured to perform multilateral transaction matching in the community based on the intellectual property recorded in the distributed ledger in response to a user's selection or authorization.
  • the transaction matching module is further configured to perform multilateral transaction matching in the community for specific types of intellectual property rights recorded in the distributed ledger.
  • the smart contract preset on the distributed ledger automatically executes corresponding operations to complete the change of intellectual property rights and reward settlement.
  • the device further includes an investment module configured to perform diversified management of assets based on asset selection theory and investment portfolio theory;
  • the investment module can realize the investment purpose of diversifying risks and improving efficiency.
  • each component in the above system can be configured by software, firmware, hardware, or a combination thereof.
  • the specific means or methods that can be used for the configuration are well known to those skilled in the art, and will not be repeated here.
  • the program constituting the software is installed from a storage medium or network to a computer with a dedicated hardware structure (for example, the general-purpose computer 300 shown in FIG. 3).
  • a dedicated hardware structure for example, the general-purpose computer 300 shown in FIG. 3.
  • Fig. 3 shows a schematic block diagram of a computer that can be used to implement the method and system according to the embodiments of the present invention.
  • a central processing unit (CPU) 301 performs various processing in accordance with a program stored in a read only memory (ROM) 302 or a program loaded from a storage section 308 to a random access memory (RAM) 303.
  • ROM read only memory
  • RAM random access memory
  • data required when the CPU 301 executes various processing and the like is also stored as necessary.
  • the CPU301, the ROM302, and the RAM303 are connected to each other via a bus 304.
  • the input/output interface 305 is also connected to the bus 304.
  • the following components are connected to the input/output interface 305: input part 306 (including keyboard, mouse, etc.), output part 307 (including display, such as cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.), Storage part 308 (including hard disk, etc.), communication part 309 (including network interface card such as LAN card, modem, etc.).
  • the communication section 309 performs communication processing via a network such as the Internet.
  • the driver 310 can also be connected to the input/output interface 305 as required.
  • a removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. can be installed on the drive 310 as needed, so that the computer program read out therefrom is installed in the storage part 308 as needed.
  • a program constituting the software is installed from a network such as the Internet or a storage medium such as a removable medium 311.
  • this storage medium is not limited to the detachable medium 311 shown in FIG. 3 which stores the program and is distributed separately from the device to provide the program to the user.
  • removable media 311 include magnetic disks (including floppy disks (registered trademarks)), optical disks (including compact disk read-only memory (CD-ROM) and digital versatile disks (DVD)), magneto-optical disks (including mini disks (MD) (registered trademarks) )) and semiconductor memory.
  • the storage medium may be a ROM 302, a hard disk contained in the storage section 308, etc., in which programs are stored and distributed to users together with the device containing them.
  • the present invention also proposes a program product storing machine-readable instruction codes.
  • the instruction code is read and executed by a machine, the above method according to the embodiment of the present invention can be executed.
  • a storage medium for carrying the above-mentioned program product storing machine-readable instruction codes is also included in the scope of the present invention.
  • the storage medium includes, but is not limited to, a floppy disk, an optical disk, a magneto-optical disk, a memory card, a memory stick, etc.
  • the method of the present invention is not limited to be executed according to the time sequence described in the specification, and may also be executed sequentially, in parallel or independently in other orders. Therefore, the execution order of the methods described in this specification does not limit the technical scope of the present invention.
  • the present invention provides the following technical solutions:
  • An intellectual property value management and operation method including:
  • a digital identity is constructed for each user, and transactions are performed based on the user's digital identity.
  • transactions are performed based on the user's digital identity.
  • the ownership of intellectual property rights and rewards are recorded in the distributed ledger based on the user's digital identity.
  • the data type of the intellectual property rights of the first user includes at least one of image, text, video, and audio.
  • the final reward is determined according to the reward settlement weight and the basic reward of the intellectual property for reward settlement.
  • the transaction matching model includes at least one of a Bayesian network, a reinforcement learning model, a deep learning model, and a generative confrontation network.
  • An intellectual property value management and operation device including:
  • the intellectual property acquisition module is configured to acquire the intellectual property rights recorded in the distributed ledger of at least one first user, wherein the intellectual property rights are obtained by analyzing data uploaded by the first user;
  • the transaction matching module is configured to match the intellectual property rights of at least one second user and at least one of the first users based on transaction requirements;
  • the transaction push module is configured to initiate a transaction invitation to the matched two parties, wherein when the invitation is made, based on the type of the first user’s intellectual property rights, the first user’s authorization of the intellectual property rights is obtained and the second The user performs the corresponding display;
  • the transaction settlement module is configured to complete the change of intellectual property rights and reward settlement in response to the authorization of the transaction by the matching parties;
  • the digital identity building module is configured to construct a digital identity for each user and conduct transactions based on the user’s digital identity. When the transaction is completed, intellectual property rights and rewards are recorded in the distributed ledger based on the user’s digital identity. Attribution.
  • the license authorization obtaining module is configured to obtain the user's permission to use the data when receiving the data uploaded by the user.
  • the intellectual property analysis module is further configured to analyze the intellectual property involved in the data uploaded by the first user through a preset data model, and set the intellectual property Set basic rewards.
  • the intellectual property analysis unit is configured to analyze all intellectual property rights involved in the data uploaded by the first user;
  • the intellectual property classification unit is configured to classify all intellectual property rights of the first user
  • the basic reward distribution unit is configured to grant corresponding basic rewards based on the type of intellectual property.
  • the reward settlement weight determination unit is configured to determine the reward settlement weight based on the authorization range and the authorization period of the first user of the intellectual property;
  • the reward settlement unit is configured to determine a final reward for reward settlement according to the reward settlement weight and the basic reward of the intellectual property.
  • the device further comprises an authorization monitoring module configured to monitor the authorization period of the intellectual property rights authorized by the first user after the transaction is completed;
  • the transaction matching model includes at least one of a Bayesian network, a reinforcement learning model, a deep learning model, and a generative confrontation network.
  • the promotion contribution recording module is configured to record the contribution made by the third user to the promotion operation of the intellectual property in the community in the distributed ledger;
  • the promotion reward settlement module is configured to allocate corresponding promotion rewards to the third user based on the third user's contribution when the transaction of the intellectual property is completed.
  • transaction matching module is further configured to perform multilateral transaction matching in the community based on the intellectual property recorded in the distributed ledger in response to a user's selection or authorization .
  • transaction matching module is further configured to perform multilateral transaction matching in the community for a specific type of intellectual property recorded in the distributed ledger.
  • a computer-readable storage medium storing program code, which, when executed by a processor, implements the method according to any one of the schemes 1-25.
  • a computing device comprising a processor and a storage medium storing program code, the program code when being executed by the processor, implements the method according to any one of the solutions 1-25.

Abstract

L'invention concerne un procédé et un appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, un support et un dispositif informatique. Le procédé consiste à : obtenir une propriété intellectuelle enregistrée par au moins un premier utilisateur dans un registre distribué, la propriété intellectuelle étant acquise par analyse de données téléchargées par le premier utilisateur (S110) ; sur la base d'exigences de transaction, mettre en correspondance la propriété intellectuelle d'au moins un second utilisateur et dudit premier utilisateur (S120) ; lancer une invitation pour une transaction à des parties mises en correspondance et obtenir, lors de la réalisation de l'invitation, sur la base du type de la propriété intellectuelle du premier utilisateur, une autorisation du premier utilisateur sur la propriété intellectuelle, et réaliser de manière correspondante un affichage à destination du second utilisateur (S130) ; en réponse à des autorisations des parties mises en correspondance pour la transaction, réaliser une modification de droits de la propriété intellectuelle et un règlement de récompense (S140) ; enregistrer la transaction achevée dans le registre distribué (S150). Le procédé permet d'effectuer une tarification d'évaluation pour une propriété intellectuelle dans des données d'utilisateurs.
PCT/CN2019/106871 2019-09-20 2019-09-20 Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique WO2020177297A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/CN2019/106871 WO2020177297A1 (fr) 2019-09-20 2019-09-20 Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique
CN201980006028.7A CN111566691A (zh) 2019-09-20 2019-09-20 知识产权价值管理及运营方法、装置、介质和计算设备

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/106871 WO2020177297A1 (fr) 2019-09-20 2019-09-20 Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique

Publications (1)

Publication Number Publication Date
WO2020177297A1 true WO2020177297A1 (fr) 2020-09-10

Family

ID=72074004

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/106871 WO2020177297A1 (fr) 2019-09-20 2019-09-20 Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique

Country Status (2)

Country Link
CN (1) CN111566691A (fr)
WO (1) WO2020177297A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113313516A (zh) * 2021-05-26 2021-08-27 广州长盛科技有限公司 基于音视频平台的成本核算方法
CN113259126B (zh) * 2021-06-11 2021-10-29 武汉龙津科技有限公司 基于区块链的成果处理方法、装置、电子设备及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160292680A1 (en) * 2015-04-05 2016-10-06 Digital Asset Holdings Digital asset intermediary electronic settlement platform
CN107086920A (zh) * 2017-06-20 2017-08-22 无锡井通网络科技有限公司 基于区块链的版权确权方法
CN107330788A (zh) * 2017-06-15 2017-11-07 雷盈科技（上海）有限公司 一种区块链数字资产交易撮合方法、系统、装置及介质
CN108921329A (zh) * 2018-06-08 2018-11-30 北京工商大学 一种基于区块链技术的食品交易优化匹配方法
WO2018227092A1 (fr) * 2017-06-09 2018-12-13 World Property Exchange Group, Inc. Plateforme d'acquisition et de mise en correspondance de transactions numériques
CN109934000A (zh) * 2019-03-12 2019-06-25 黑龙江世纪精彩科技有限公司 基于区块链技术的文娱产业合作意向匹配方法及存储介质

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102402756A (zh) * 2010-09-16 2012-04-04 香港理工大学 智能服装商务系统
CN108711051B (zh) * 2018-05-03 2021-09-14 法信公证云（厦门）科技有限公司 一种基于区块链的知识产权交易共享平台及方法
CN108960795A (zh) * 2018-08-01 2018-12-07 深圳市网心科技有限公司 一种数据资产分享方法、平台、系统、设备及存储介质
CN109034915B (zh) * 2018-09-03 2022-04-22 王昆 一种可应用数字资产或积分作为交易媒介的人工智能型电子商务系统
CN109934710A (zh) * 2018-11-08 2019-06-25 杭州基尔区块链科技有限公司 基于双通证的适用于知识产权联盟链的智能共识机制
CN109933703A (zh) * 2019-03-14 2019-06-25 鹿寨知航科技信息服务有限公司 一种企业知识产权价值评估模型的构建方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160292680A1 (en) * 2015-04-05 2016-10-06 Digital Asset Holdings Digital asset intermediary electronic settlement platform
WO2018227092A1 (fr) * 2017-06-09 2018-12-13 World Property Exchange Group, Inc. Plateforme d'acquisition et de mise en correspondance de transactions numériques
CN107330788A (zh) * 2017-06-15 2017-11-07 雷盈科技（上海）有限公司 一种区块链数字资产交易撮合方法、系统、装置及介质
CN107086920A (zh) * 2017-06-20 2017-08-22 无锡井通网络科技有限公司 基于区块链的版权确权方法
CN108921329A (zh) * 2018-06-08 2018-11-30 北京工商大学 一种基于区块链技术的食品交易优化匹配方法
CN109934000A (zh) * 2019-03-12 2019-06-25 黑龙江世纪精彩科技有限公司 基于区块链技术的文娱产业合作意向匹配方法及存储介质

Also Published As

Publication number Publication date
CN111566691A (zh) 2020-08-21

Similar Documents

Publication Publication Date Title
Grover et al. Diffusion of blockchain technology: Insights from academic literature and social media analytics
US11121858B2 (en) Blockchain analytics
Chen et al. A trust model for online peer-to-peer lending: a lender’s perspective
Chen et al. Machine learning in/for blockchain: Future and challenges
CN108737361B (zh) 一种基于区块链的数据验证方法
Koutroumpis et al. The (unfulfilled) potential of data marketplaces
CN112132198B (zh) 数据处理方法、装置、系统和服务器
Jain et al. Accuracy enhancement in machine learning during blockchain based transaction classification
EP3996021A1 (fr) Système et procédé mis en uvre par ordinateur pour la génération et l'extraction de données relatives à un utilisateur stockées sur une chaîne de blocs
CN107636662A (zh) 网络内容认证
US11244032B1 (en) System and method for the creation and the exchange of a copyright for each AI-generated multimedia via a blockchain
WO2020177298A1 (fr) Procédé et appareil de gestion et d'exploitation de valeurs d'actifs numériques, support et dispositif informatique
JPWO2020141584A1 (ja) 処理システムおよびプログラム
WO2020177297A1 (fr) Procédé et appareil de gestion et d'exploitation de valeurs de propriété intellectuelle, support et dispositif informatique
US20230139137A1 (en) Tokenized carbon credit trading platform
Kummar et al. Blockchain based big data solutions for internet of things (IoT) and smart cities
Chen An approach for improving transparency and traceability of industrial supply chain with Blockchain technology
CN112184448A (zh) 基于区块链的自组织可信激励处理方法、系统及存储介质
US20230105483A1 (en) Systems and methods of facilitating digital ratings and secured sales of digital works of art
US20230088446A1 (en) Systems and methods of facilitating digital ratings and secured sales of digital works of art
Sänger et al. TRIVIA: visualizing reputation profiles to detect malicious sellers in electronic marketplaces
Najafi Identify effective factors for improving e-trust of e-transactions in the context of e-commerce and e-government
Zifla et al. Community engagement in peer-to-peer business: evidence from Etsy. com
Marati et al. Revolutionizing Tender Management through Blockchain Technology
US11966894B2 (en) Apparatus for cryptographic resource transfer based on quantitative assessment regarding non-fungible tokens

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19918161

Country of ref document: EP

Kind code of ref document: A1

DPE2 Request for preliminary examination filed before expiration of 19th month from priority date (pct application filed from 20040101)
NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19918161

Country of ref document: EP

Kind code of ref document: A1