30 results about "Metadata standard" patented technology

The invention relates to the field of copyright authentication of non-perpetual culture elements, and discloses a block chain copyright authentication method for non-perpetual culture elements, which comprises the following steps: S1, performing multi-dimensional data acquisition through a distributed storage system, performing structured data acquisition and feature coding on the non-perpetual culture elements, and storing the structured data in a database; comprising the following steps: multi-modal data fusion acquisition, dynamic metadata standardization processing, and generation of unique digital identifiers and cultural feature codes; and S2, constructing a hybrid block chain architecture, constructing a hierarchical network architecture comprising a permission chain layer and an open chain layer, and realizing heterogeneous chain data synchronization through a cross-chain interoperation protocol. Through multi-modal data acquisition and dynamic metadata structured processing, the spatial form, the process time sequence and the oral context of non-residual elements are completely recorded, digital twin bodies with microscopic details and semantic association are formed, the problem of fragmentation of traditional archiving is solved, and a unique block chain identifier and two-way index mapping are combined, so that the method is simple and convenient to implement. And the originality of the cultural heritage in virtual restoration and cross-domain propagation is ensured.

The invention relates to the technical field of archive management, and discloses an archive life cycle full-process digital supervision method, which comprises the following steps: constructing an archive digital twinborn framework, loading a metadata standard, and generating an initial holographic archive mapping model; a life cycle state transition rule is configured, and a whole-process dynamic tracking model is obtained by combining entity associated parameter fusion data; executing compliance deduction to generate a trajectory chain and simulation data; a metadata conflict resolution mechanism is established, a supervision strategy optimization model is trained and generated, and governance parameters including entity association degree weights and the like are output; generating file increment simulation information; constructing a multi-target decision model to iteratively adjust the supervision framework to obtain an optimal supervision path parameter; and verifying and updating the supervision strategy through the real-time holographic mapping network. According to the method, full-process dynamic supervision of archives is realized, and the management efficiency and the intelligent level are improved.

The invention discloses an industrial data standard detection method based on a large model technology, and the method comprises the steps: 1, carrying out the definition of data standards, including a data content standard, a data format standard, a metadata standard, a data quality standard, a data exchange standard, a data security and privacy standard, and an industry and field specific standard; 2, performing large model knowledge enhancement, including general data standard integration, static standard rule scheme injection, dynamic semantic analysis detection scheme injection, data blood relationship detection scheme injection and composite detection mechanism fusion injection; and step 3, performing data standard detection, including data standard formatting and data standard automatic detection. According to the method disclosed by the invention, remarkable effect improvement is realized in the aspects of coverage rate detection, real-time performance, compliance interpretation capability, domain knowledge deep embedding, system management intelligence and the like, and a new generation of basic technical facilities is provided for industrial internet data management.

The invention discloses a standardized unified code generation method and system for building material names and specifications, and relates to the technical field of building engineering.The system obtains multi-dimensional unstructured original information of building materials through a data acquisition module, and a data feature extraction module is used for recognizing fields such as categories and specifications to generate standardized metadata; the standardized mapping rule module maps the metadata into standardized names, specifications and unique codes capable of reversely analyzing parameters based on a three-level matching rule base, and outputs a matching result; and the code generation and output module automatically generates standardized names, specifications and unique codes according to the matching result and a fixed format, and outputs the standardized names, specifications and unique codes to a database or an external system to realize information sharing. According to the invention, by establishing a unified standard rule, diversified material names and specifications are automatically converted into standardized expressions and unique codes, the standardization and efficiency of building material information management are improved, and a series of industry pain points caused by information discretization are solved.

Methods, systems, and devices for generating and applying function-based and / or rule-based labels to data records for a data security system are described. Such labels may be used for querying of data records. A user of a data security system may define metadata criteria for triggering generation of a label. In some examples, the user may define a function that may transform the metadata that satisfies the triggering criteria for a data record into a label to apply to the data record. In some examples, the user may define a rule that indicates a label to apply to the data record(s) that satisfy the metadata criteria. A user may query the database for records based on the labels applied to the data records in a consistent format expected by the administrative user.

The invention provides a cross-domain shared biological information metadata integration and management platform, and belongs to the technical field of bioinformatics. Comprising a metadata acquisition module used for supporting uploading of various metadata file formats, recording data change history and providing field preview and condition prompt; the metadata standardization and semantic mapping module is used for realizing field semantic analysis, standardized mapping and user-defined mapping management through a built-in biological ontology library; the universal metadata model building module is used for providing a dual-interface definition metadata structure template and realizing model version control and field verification; the authority control and sharing mechanism module is used for setting a data visibility authority and distributing a metadata unique reference identifier; the advanced retrieval and semantic search module is used for supporting condition combination retrieval and natural language semantic association retrieval; and a database. According to the method, standardized integration, safe sharing and semantic retrieval of the multi-source heterogeneous metadata are realized, the cross-laboratory cooperation efficiency is improved, and the scientific research cost is reduced.

This invention discloses a method for constructing a comprehensive transportation infrastructure spatial database based on multi-source data, including the following steps: S1, collecting data on three types of transportation infrastructure: highway, water transport, and aviation; S2, establishing a data dictionary and metadata standards based on specifications, and formulating a database partitioning strategy and interface specifications; S3, standardizing attribute data, satellite image data, and spatial vector data; S4, formulating a spatial data sharding strategy based on geographic regions, building a full-text index and spatial index system, and optimizing storage and query; S5, using MySQL, PostGIS, MongoDB, ElasticSearch, and K-V storage for collaborative management; S6, designing expansion mechanisms at the storage, retrieval, and computing layers; and S7, establishing a unified retrieval platform based on the database, integrating raster and vector data, and supporting spatial visualization and semantic retrieval. This invention enhances the ability to integrate, retrieve, and expand transportation infrastructure data, and is suitable for the construction of a comprehensive transportation information platform.

The invention relates to the technical field of energy data sharing, in particular to an energy data sharing method and device based on a block chain and a medium, and the method comprises the steps: obtaining target energy data under a first target energy data directory based on a block chain platform in response to a demand end; submitting a sharing application request to the authorization end according to the first target energy data directory, wherein the sharing application request is used for the authorization end to determine whether the target energy data is allowed to be shared; and in response to a message of allowing to share the target energy data fed back by the authorization end, sending an access link of the target energy data to the demand end. According to the method, trusted construction and uplink evidence storage of an energy data directory are realized through a block chain technology, metadata standards are unified, and the problems of data islands and low management efficiency in the energy industry are solved; meanwhile, a safe and efficient energy data sharing mechanism is established by using an intelligent contract and encryption technology, and the circulation efficiency of the energy data is effectively improved.

A system for managing metadata preprocesses data according to a metadata standard. Natural language processing is used to extract and normalise metadata, which is transformed into structured schemas.

The invention provides a metadata processing method based on a large model and electronic equipment. The method and the electronic equipment are used for improving the universality of metadata standards. The method comprises the steps of obtaining directory content data in a data directory library, performing feature extraction on the directory content data to obtain data structure features, and extracting at least one piece of metadata from the directory content data according to the data structure features; inputting the at least one piece of metadata into a metadata reference model, and performing feature scoring on the at least one piece of metadata based on the metadata reference model to obtain scores corresponding to the at least one piece of metadata; and determining target metadata according to the score corresponding to the at least one piece of metadata, wherein the target metadata is a metadata standard in the at least one piece of metadata. The metadata corresponding to each data directory in the data directory library is scored by adopting the large model subjected to fine tuning training, so that a uniform metadata standard can be constructed for each data directory in the data directory library according to the score, and the universality is high.

The invention provides an intelligent generation method and system of a work decomposition structure template and a storage medium, and belongs to the crossing field of information technology and engineering project management. In order to solve the problems that a work decomposition structure template is low in creation efficiency, inconvenient to adjust and poor in large-scale data processing performance, the method comprises the steps that initial input is responded, nodes are retrieved and combined from a preset multi-level WBS metadata standard library, a WBS template is automatically generated, and attributes are hooked; and carrying out persistent storage on the generated template by adopting a redundant data structure containing a pre-calculation hierarchical path. The corresponding system further comprises a memory cache layer of which the data access priority is higher than that of the database so as to improve the calling performance. The template generation efficiency and management fineness are improved, and high performance under large-scale application is guaranteed.

The application provides a kind of intelligent file cabinet data exchange management and control method, belongs to intelligent file cabinet technical field, the intelligent file cabinet data exchange management and control method, it includes the following steps: data standardization and protocol formulation: standardized format: the data model of international or industry standard (such as ISO / IEC 23081-1 archive metadata standard) is adopted, ensure the consistency of archive description, classification and index;Guarantee the security and compatibility of data transmission, solve the interoperability problem caused by the non-uniform data format, sensitive data is encrypted by using AES, RSA encryption technology, ensure the safety of data in the process of transmission and storage, combined with biometric identification and traditional password two-factor authentication mode, greatly improve the security level of user identity verification, plus the deployment of firewall and intrusion monitoring system, form a multi-level network security protection system, effectively resist external attack, solve the problem of insufficient data transmission security measures.

The invention discloses a joint query method and system for multi-source heterogeneous distributed spatio-temporal data nodes, and belongs to the field of data management and query analysis of geoscience spatio-temporal data. The method comprises the following steps: firstly, carrying out metadata standardization cataloguing and registration on an earth science spatio-temporal data set, and meanwhile, constructing a global unified time axis index to realize mapping and matching of different time systems; analyzing a client query request, generating a logic execution plan through expanded space-time function verification, and introducing a custom rule to a volcano optimizer to generate a physical execution plan with the minimum cost; and finally, converting the physical operator into a code capable of being executed in a distributed manner by adopting a dynamic code generation technology, efficiently executing the code through a spatial distributed computing framework, and returning a result. According to the method, the problems of difficulty in space-time alignment and low query efficiency of multi-source data in the field of earth science are solved, and a high-performance and extensible solution is provided for complex space-time analysis.

The application relates to a college relationship data processing method and system based on a lake warehouse, which comprises the following steps: extracting original data of various business systems of colleges into a lake warehouse and dividing initial metadata into the lake warehouse, and storing labeled metadata into the lake warehouse; constructing a first edition college data standard mapping dictionary, and assimilating Chinese abbreviations in the data standard into model semantic category labels; performing semantic recognition on metadata without labels extracted into the lake warehouse, correcting metadata labeling based on the model semantic category labels, and updating and backfilling the metadata labeling into the metadata in the lake warehouse; based on the college metadata standard mapping dictionary in the data warehouse, mapping, integrating and constructing a hierarchical classified college data asset directory; and realizing data asset directory publishing and query searching. The application constructs a unified college metadata standard mapping data dictionary, realizes the association mapping between business systems and the unified metadata standard of different business systems and colleges, and constructs a unified data asset directory.

The application relates to the technical field of the cross of artificial intelligence large models, computer vision, natural language processing and intelligent education, in particular to a knowledge base system based on an AI large model, which comprises a content access layer, an AI analysis processing layer, a knowledge base management layer and a multi-terminal adaptation layer which are sequentially connected, and is also provided with a feedback closed-loop optimization module and a value concept and compliance scanning sub-module; a hierarchical disassembly algorithm driven by a VLM is used to realize minute-level automatic disassembly of a children's book in the order of a book, a page, a page area, picture elements and associated scripts; a double-mode age-appropriate evaluation system of texts and images which is fused with vocabulary complexity, logical depth, image emotion and value concept compliance is constructed, unified knowledge graph metadata standards are established to realize multi-terminal differentiated output, and knowledge base incremental learning is completed by relying on terminal interaction data. The application shortens the children's book disassembly time from several days to several minutes, reduces the artificial cost, and realizes content full-process automatic processing and dynamic optimization.

The invention relates to the field of cross-system metadata retrieval, in particular to a cross-system metadata multi-condition retrieval and index updating method based on Gravitino, which comprises the following steps of: collecting full-quantity metadata through a Gravitino Client hierarchy, and storing the full-quantity metadata in an H2 database after standardizing the full-quantity metadata; constructing double indexes through IK word segmentation and Hash mapping, and persisting the double indexes to a local file; triggering incremental synchronization based on a Spring timed task, and calling a corresponding interface to obtain data; mD5 checksum comparison is calculated, data change is identified, and an index is updated; and analyzing the multi-condition query, and after sorting and paging, exposing a RESTful interface through SpringBoot. According to the method, through double indexes, timing increment synchronization and standardized storage technologies, the problems of metadata disorder, low retrieval efficiency and the like are solved, millisecond-level matching is realized, the accuracy is improved, and the integration cost is reduced.

The present application relates to the technical field of big data and vocational education auditing, and particularly relates to a vocational education auditing system based on big data. The system comprises a teaching data collection unit, a student data collection unit and a management data collection unit, and is used for collecting various types of education data in real time. A data processing module comprises a data cleaning unit, a data standardization unit and a data integration unit; an auditing analysis module comprises a teaching auditing unit, a student auditing unit and a management auditing unit; a security management module comprises a data encryption unit, a data backup unit and a data monitoring unit; and a user training module comprises a training course generation unit and a training evaluation unit. The present invention significantly improves the accuracy and security of vocational education auditing by means of an intelligent auditing model and risk assessments, and meets the requirements of modern vocational education.

The invention relates to a bid price separation result online data management method and system, and a storage medium. The bid price separation result online data management method comprises the following steps: S1, receiving bid price separation data comprising a total bidding quotation and details thereof; s2, based on a predefined metadata standard, performing standardization processing on detail composition in the bid price separation data to obtain structured bid price separation detail data; according to the method, a closed-loop process is formed through standardized input, multi-dimensional splitting, intelligent verification, dynamic linkage, quality evaluation and tracing archiving, the whole process from data receiving to archiving and automatic treatment are achieved, and the problems of process splitting, high manual dependency degree, low efficiency and difficulty in tracing caused by a traditional offline processing mode are fundamentally solved.

Methods, systems, and devices for generating and applying function-based and / or rule-based labels to data records for a data security system are described. Such labels may be used for querying of data records. A user of a data security system may define metadata criteria for triggering generation of a label. In some examples, the user may define a function that may transform the metadata that satisfies the triggering criteria for a data record into a label to apply to the data record. In some examples, the user may define a rule that indicates a label to apply to the data record(s) that satisfy the metadata criteria. A user may query the database for records based on the labels applied to the data records in a consistent format expected by the administrative user.

The application discloses a kind of multi-source heterogeneous distributed spatio-temporal data node's joint query method and system, belong to the field of data management and query analysis of earth science spatio-temporal data.The method is first to the earth science spatio-temporal data set is standardized cataloguing and registration, simultaneously, to realize the mapping and matching of different time system, with global unified time axis index is built;Subsequently, parse client query request, through the logical execution plan of extended spatio-temporal function verification generation, and introduce custom rules to volcano optimizer, to generate the physical execution plan of minimum cost;Finally, using dynamic code generation technology, physical operator is converted into distributable execution code, via spatial distributed computing framework efficiently executes and returns result.The application solves the problem of multi-source data spatio-temporal alignment difficult, low query efficiency in the field of earth science, provides high-performance, scalable solution for complex spatio-temporal analysis.

The application discloses a kind of visual analysis methods, devices, electronic equipment and storage medium of learning design, wherein the visual analysis method of learning design includes: obtaining original learning design data;Obtain the preset learning design metadata standard, according to the learning design metadata standard, the original learning design data is parsed, and standardized learning design data is obtained;The standardized learning design data is analyzed, and the analysis result of the learning design data is obtained;The analysis result of the learning design data is displayed.By introducing learning design metadata standard, the problem that the depth of learning design visualization analysis result is insufficient, the breadth is deficient and the like is solved.

The invention discloses a hardware shell design iteration big data processing analysis method and system based on a cloud platform, and belongs to the technical field of design data analysis. Unified access of a 3D model, simulation data and logs is achieved through metadata standardization and multi-protocol interface conversion, the fragmentation granularity is adjusted according to a real-time requirement grade value through a self-adaptive fragmentation algorithm, high-frequency access data and cold area data are dynamically stored through hot area grade marks, and a quantum heuristic scheduler is used for achieving the real-time requirement grade value through a minimum energy function. The resource utilization rate is improved, the edge node focuses on real-time simulation, the cloud side aggregates multi-node data through federated learning, and an influence coefficient matrix is iterated through reinforcement learning, so that the accuracy of design iteration value evaluation can be effectively improved; the comprehensive value score of each structure parameter is calculated and analyzed, suggested optimization parameters and adjustment amplitude are obtained, and reliable data support can be provided for targeted optimization of hardware shell design iteration.

The application discloses a data quality evaluation method and device in a database, electronic equipment and a storage medium. The method comprises the following steps: S1, determining the attributes of technical metadata to be evaluated, including field attributes and their evaluation scores; S2, formulating technical metadata standards; S3, specifying the mapping relationship between the metadata, including the mapping relationship between the technical metadata and the fields in the data table; S4, evaluating and comparing the data according to the technical metadata standards, the mapping relationship and the data to be evaluated, calculating the data quality evaluation score and the data quality evaluation pass rate to judge the data quality. The application maps the metadata in the database with the technical metadata standards by defining the technical metadata attribute standards, periodically realizes the comparison between the technical metadata standards and the database metadata, evaluates the data quality in the database, improves the credibility and effectiveness of the data, and is flexible in the evaluation mode and suitable for various data sources.

The invention relates to the technical field of data management, and discloses a data center-based metadata standard automatic bidding method and system, which is characterized in that a metadata standard document with uniform content and format is compiled according to an enterprise asset catalog, and a VBA-based lightweight structured analysis tool is used for analyzing the metadata standard document; a published metadata standard document is automatically converted into a structured physical table model, and data support is provided for follow-up bidding and quality checking; the data center extracts fields which are not subjected to marking, Chinese name word segmentation and semantic vectorization modeling are carried out, clustering analysis is carried out on the fields and standard attribute item names in a semantic space, fields with similar semantics are classified into a group by adopting a density clustering algorithm, similarity matching is carried out on the fields in the group, marking matching fields are automatically recommended, and a mapping relation is established; the association on the asset catalog is completed to improve the intelligent level of data standard management, so that the implementation cost is reduced, the implementation period is shortened, the manual intervention cost is reduced, and the quality and availability of the data are remarkably improved.

A method of creating a promotional video may include uploading product image files and corresponding metadata; standardizing product image files and corresponding metadata into standardized image files; storing the standardized image files and the corresponding metadata into a product database, wherein the corresponding metadata includes name, description, size or price of the selected product; receiving product selection from a user and retrieving a standardized image file and corresponding metadata from the product database; receiving promotional parameters and promotional start (flight) date for the received product selection and store the received promotional parameters and the received start date with associated standardized image files and the corresponding metadata for the received product selection; and rendering a selected product promotional video for the received product selection based at least in part of the product selection standardized image file and corresponding metadata.

The present application provides an application construction method, system, device and storage medium based on a virtual data warehouse. The method obtains multiple logical components in a preset component library and multiple metadata in a preset knowledge base, constructs a directed acyclic application execution graph according to the multiple metadata and multiple logical components, configures the execution parameters of the first target component, and configures the output component of the output node of the directed acyclic application execution graph, configures the execution parameters of the second target component, and configures the parameter input component of the execution parameters of the second target component. The target application is constructed based on the directed acyclic application execution graph, the execution parameters of the first target component, the output component, the execution parameters of the second target component and the parameter input component. Through metadata standardization and application componentization, the application construction is separated from the actual data resources, so that the application can switch smoothly under different data resources, which can effectively reduce the application development cost and maintenance fee.

The application relates to the technical field of data management, and discloses a metadata standard automatic marking method and system based on a data center. A metadata standard document is prepared according to the contents and formats of enterprise asset directory, and a lightweight structured analysis tool based on VBA is used to automatically convert the published metadata standard document into a structured physical table model, thereby providing data support for subsequent marking and quality checking. The data center extracts fields that have not been marked, carries out Chinese name word segmentation and semantic vectorization modeling, carries out clustering analysis on the standard attribute item names in the semantic space, adopts a density clustering algorithm to group fields with similar semantics, carries out similarity matching on the fields in the group, automatically recommends matching fields for marking and establishes a mapping relationship, and completes association on the asset directory, so that the intelligent level of data standard management is improved, the implementation cost and period are reduced, the manual intervention cost is reduced, and the data quality and availability are significantly improved.

Methods, systems, and devices for generating and applying function-based and / or rule-based labels to data records for a data security system are described. Such labels may be used for querying of data records. A user of a data security system may define metadata criteria for triggering generation of a label. In some examples, the user may define a function that may transform the metadata that satisfies the triggering criteria for a data record into a label to apply to the data record. In some examples, the user may define a rule that indicates a label to apply to the data record(s) that satisfy the metadata criteria. A user may query the database for records based on the labels applied to the data records in a consistent format expected by the administrative user.

An object of a system according to an embodiment is to optimize data utilization of an entire organization by sharing and integrating data and enabling data governance.SOLUTION: A system according to an embodiment includes a data standardization unit, a data integration unit, a data governance unit, a visualization unit, an analysis unit, and a decision-making support unit. The data-standardizing unit uses the generated AI to standardize the date. The data integration unit integrates the pieces of data standardized by the data standardization unit. The data governance unit performs data governance based on the data integrated by the data integration unit. The visualization unit visualizes the data managed by the data governance unit. The analysis unit analyzes the data visualized by the visualization unit. The decision-making support unit supports decision making based on the data analyzed by the analysis unit.SELECTED DRAWING: Figure 1

The invention discloses a cement field data management method based on identification analysis, and the method comprises the following steps: 1, obtaining cement production data in real time through a data collection and perception layer in a cement production process; step 2, cement production data processing; step 3, the industrial gateway automatically associates and binds the real-time data with the corresponding material identification code and the corresponding equipment identification code according to the timestamp and the corresponding equipment information to form a complete data chain; 4, storing cement production data; and step 5, connecting with the identification analysis node and each data source through the enterprise intranet, and providing a uniform access interface for the user. The method is a set of data management framework which deeply integrates an identification analysis system and cement industrial production characteristics, and can design a unified identification coding rule and a metadata standard covering the whole process of ore-raw material-clinker-cement for the inherent pain points of the industry; and each key device, each sensor measuring point and each material batch are endowed with a globally unique identity label.