Services sharing method of model data product

By establishing a service model of model data products and performing data product resource utilization, the problems of confusing data management, incomplete resource discovery and access, and single storage management in the existing technology are solved, and standardized management of data products, efficient resource discovery and Distributed storage management improves the efficiency and reliability of data sharing and utilization.

CN119493784APending Publication Date: 2025-02-21INST OF WAR STUDIES ACAD OF MILITARY SCI OF THE CHINESE PEOPLES LIBERATION ARMY
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Patent Information

Application Number
CN202411527585.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-30
Publication Date
2025-02-21

AI Technical Summary

Technical Problem

The lack of a unified service model and standardized management process in the sharing of existing models data products has led to confusion in data management, making it difficult to achieve efficient sharing and utilization, and the data resource discovery and access mechanism is imperfect, and the lack of distributed storage management mechanism is difficult. Meet the storage needs and high reliability requirements of large-scale data.

Method used

By establishing a service model of the model data product, data product resource utilization, and using the unified Schema paradigm of digital objects for encapsulation, registration, publication, storage, retrieval, etc., giving the data product a globally unique identifier, and being managed by the data resource service, Implement discovery, access and distributed storage management of data resources.

Benefits of technology

It realizes standardized management of data products, efficient resource discovery and access, ensures data quality and availability, and improves the reliability and scalability of data storage through distributed storage management.

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Abstract

The invention discloses a service sharing method of a model data product, and relates to the technical field of data management and sharing, the service sharing method comprises a model data product service model, and the model data product service model comprises regulation data product resource packaging, data resource service and data resource distributed storage management. The regulation data product resource packaging refers to a digital object architecture, the regulation data product resource packaging further comprises a data product, the data product identifier, the metadata and the data product form an organic whole, the data product is uniquely identified in a prefix or suffix format, and the data product is stored in the data product. And various data products are effectively organized by a unified data model. According to the service sharing method of the model data product, distributed storage management of data resources depends on a model resource service platform, and distributed storage management of the data product is carried out in a distributed deployment environment according to a unified management specification and a business data pooling requirement.
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Description

Technical Field

[0001] The present invention relates to the technical field of data management and sharing, and in particular to a service-oriented sharing method for model data products. Background Art

[0002] With the rapid development of information technology, the value of data has become increasingly prominent, and the demand for sharing model data products has become increasingly strong. However, there are currently many problems in the sharing of model data products.

[0003] On the one hand, there is a lack of a unified service model and standardized management process. There is no unified standard for the packaging, registration, release, storage and retrieval of data products, which leads to chaotic data management and difficulty in achieving efficient sharing and utilization. At the same time, there is no globally unique identifier and unified management mechanism, making it difficult to accurately identify and locate data products.

[0004] On the other hand, the data resource discovery and access mechanism is imperfect. It is difficult for users to quickly find the data resources they need, and the data acquisition method is not flexible enough to meet the diverse needs of different users. Moreover, in the process of using data resources, there is a lack of effective review mechanism for data quality and service availability, which easily leads to data insufficiency or service unavailability, affecting the normal use of data products.

[0005] In addition, the data storage management method is relatively simple and lacks a distributed storage management mechanism, making it difficult to meet the storage needs and high reliability requirements of large-scale data.

[0006] In summary, in order to solve the problems existing in the sharing of existing model data products, a new service-oriented sharing method of model data products is urgently needed to achieve standardized management of data products, efficient resource discovery and access, ensure data quality and availability, and use distributed storage management to improve the reliability and scalability of data storage. Summary of the invention

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a service-oriented sharing method of model data products, comprising the following steps: Step 1: Establish a model data product service model; Step 2: Data product resourceization: Data products can be packaged, registered, published, stored, retrieved, and other operations in the data resource service environment according to the unified Schema paradigm of digital objects. The data resource service environment gives the data product a globally unique identifier and is uniformly managed by the data resource service. Step 3: Data resource discovery requires users to apply to the data resource service environment through resource discovery and obtain the corresponding data resource location based on resource identification and access authorization; Step 4: Data product access and use requires users to access or subscribe to data products according to resource identifiers, and obtain data resources by data pull or push according to usage requirements; Step 5: Data resource readiness review requires managers to review whether the data resources that must be used are ready for service to avoid data being in place or service being unavailable.

[0008] Preferably, the registration in step 2 includes identification application and metadata registration, and the identification in step 2 is specifically a data product resource identification code.

[0009] Preferably, the data product service model of the step 1 includes regulating data product resource packaging, data resource service and data resource distributed storage management; The regulated data product resource packaging refers to the digital object architecture, and the regulated data product resource packaging also includes a data product. The data product identifier, metadata and data product form an organic whole. The data product is uniquely identified in the format of a prefix or suffix, and a unified data model is used to effectively organize various types of data products as a unified data paradigm for discovery, search, exchange and aggregation operations; The distributed storage management of data resources relies on the model resource service platform to perform distributed storage management of data products in a distributed deployment environment in accordance with unified management specifications and business data pooling requirements; The data resource service adopts a digital network service architecture.

[0010] Preferably, the data resource service also includes networking service, site service, and data connection service; The networking services include data product identification management, identification registration, identification resolution, prefix management, networking management, routing management, and site access management; The site services include data product lifecycle management, distributed storage, subscription, publishing and rights management; The digital network services include directory, search, exchange and aggregation service calling interfaces.

[0011] The present invention provides a service-oriented sharing method for model data products, which has the following beneficial effects: The service-oriented sharing method of the model data product has established a unified model data product service model, making the management of data products more standardized and orderly. By referring to the digital object architecture to regulate the resource packaging of data products, the data product identification, metadata and data products are organically integrated, and a unified data model is used to effectively organize various data products, providing a unified data paradigm for data products in the process of discovery, search, exchange and aggregation. Data products can be packaged, registered, published, stored, retrieved, and other operations in the data resource service environment according to the unified Schema paradigm of digital objects, ensuring a standardized process for data processing.

[0012] 2. The service-oriented sharing method of the data product of this model gives the data product a globally unique identifier through the data resource service environment, and is uniformly managed by the data resource service, which facilitates the precise positioning and management of the data product.

[0013] 3. The service-oriented sharing method of the data product of this model allows users to apply to the data resource service environment through resource discovery, and obtain the corresponding data resource location based on resource identification and access authorization, thereby improving the efficiency of data resource search.

[0014] Fourth, the service-oriented sharing method of the data product of this model allows users to access or subscribe to data products according to resource identifiers, and obtain data resources by data pull or push according to usage requirements, thus meeting the diverse data usage needs of different users; The data resource service adopts the digital network service architecture, including networking services, site services, digital network services, etc., and provides rich data service functions, such as identity management, life cycle management, subscription and publishing, permission management, as well as directory, search, exchange and aggregation service call interfaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a data product service model of a service sharing method of a model data product of the present invention; Figure 2 A schematic diagram of the steps of a service-oriented sharing method for a model data product of the present invention. DETAILED DESCRIPTION

[0016] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0017] The first embodiment, as Figure 1 to Figure 2 As shown, the present invention provides a technical solution: A service-oriented sharing method for a model data product comprises the following steps: Step 1: Establish a model data product service model; Step 2: Data product resourceization: Data products can be packaged, registered, published, stored, retrieved, and other operations in the data resource service environment according to the unified Schema paradigm of digital objects. The data resource service environment gives the data product a globally unique identifier and is uniformly managed by the data resource service. Data products can be packaged, registered, published, stored, retrieved, and other operations in the data resource service environment according to the unified Schema paradigm of digital objects, ensuring a standardized process for data processing.

[0018] Step 3: Data resource discovery requires users to apply to the data resource service environment through resource discovery and obtain the corresponding data resource location based on resource identification and access authorization; Step 4: Data product access and use requires users to access or subscribe to data products according to resource identifiers, and obtain data resources by data pull or push according to usage requirements; Step 5: Data resource readiness review requires managers to review whether the data resources that must be used are ready for service to avoid data being in place or service being unavailable.

[0019] The registration in step 2 includes identification application and metadata registration. The identification in step 2 is specifically a data product resource identification code.

[0020] The data product service model of the model in step one includes regulating data product resource packaging, data resource service and data resource distributed storage management; The regulated data product resource packaging refers to the digital object architecture, and the regulated data product resource packaging also includes data products. The data product identifier, metadata and data products form an organic whole. The data product is uniquely identified in the format of prefix or suffix, and various types of data products are effectively organized with a unified data model as a unified data paradigm for discovery, search, exchange and aggregation operations; data products are given a globally unique identifier through the data resource service environment, and are uniformly managed by the data resource service, so as to facilitate accurate positioning and management of data products; The distributed storage management of data resources relies on the model resource service platform to perform distributed storage management of data products in a distributed deployment environment in accordance with unified management specifications and business data pooling requirements; Users submit applications to the data resource service environment through resource discovery, and obtain the corresponding data resource location based on resource identification and access authorization, thereby improving the efficiency of data resource search.

[0021] Users can access or subscribe to data products according to resource identifiers, and obtain data resources by pulling or pushing data according to usage requirements, meeting the diverse data usage needs of different users. Data resource services adopt a digital network service architecture, including networking services, site services, digital network services, etc., and provide rich data service functions, such as identification management, life cycle management, subscription and publishing, permission management, as well as directory, search, exchange and aggregation service call interfaces.

[0022] The data resource service adopts a digital network service architecture.

[0023] The data resource services also include networking services, site services, and data connection services; The networking services include data product identification management, identification registration, identification resolution, prefix management, networking management, routing management, and site access management; The site services include data product lifecycle management, distributed storage, subscription, publishing and rights management; The digital network services include directory, search, exchange and aggregation service calling interfaces.

[0024] A unified model data product service model has been established to make the management of data products more standardized and orderly. By referring to the digital object architecture to regulate the resource packaging of data products, the data product identification, metadata and data products are organically integrated, and a unified data model is used to effectively organize various data products, providing a unified data paradigm for data products in the process of discovery, search, exchange and aggregation.

[0025] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A service-oriented sharing method for a model data product, characterized in that: The following steps are involved: Step 1: Establish a model data product service model; Step 2: Data product resourceization: Data products can be packaged, registered, published, stored, retrieved, and other operations in the data resource service environment according to the unified Schema paradigm of digital objects. The data resource service environment gives the data product a globally unique identifier and is uniformly managed by the data resource service. Step 3: Data resource discovery requires users to apply to the data resource service environment through resource discovery and obtain the corresponding data resource location based on resource identification and access authorization; Step 4: Data product access and use requires users to access or subscribe to data products according to resource identifiers, and obtain data resources by data pull or push according to usage requirements; Step 5: Data resource readiness review requires managers to review whether the data resources that must be used are ready for service to avoid data being in place or service being unavailable.

2. A service-oriented sharing method for model data products according to claim 1, characterized in that: The registration in step 2 includes identification application and metadata registration. The identification in step 2 is specifically a data product resource identification code.

3. The service-oriented sharing method of a model data product according to claim 1, characterized in that: The data product service model of the model in step one includes regulating data product resource packaging, data resource service and data resource distributed storage management; The regulated data product resource packaging refers to the digital object architecture, and the regulated data product resource packaging also includes a data product. The data product identifier, metadata and data product form an organic whole. The data product is uniquely identified in the format of a prefix or suffix, and a unified data model is used to effectively organize various types of data products as a unified data paradigm for discovery, search, exchange and aggregation operations; The distributed storage management of data resources relies on the model resource service platform to perform distributed storage management of data products in a distributed deployment environment in accordance with unified management specifications and business data pooling requirements; The data resource service adopts a digital network service architecture.

4. The service-oriented sharing method of model data products according to claim 3, characterized in that: The data resource services also include networking services, site services, and data connection services; The networking services include data product identification management, identification registration, identification resolution, prefix management, networking management, routing management, and site access management; The site services include data product lifecycle management, distributed storage, subscription, publishing and rights management; The digital network services include directory, search, exchange and aggregation service calling interfaces.