23 results about "Metadata Type" patented technology

The invention belongs to the field of big data, and relates to a data consanguinity analysis visualization method, which comprises the following steps of: obtaining metadata of target data from a plurality of data sources, and determining a metadata type and a metadata attribute of the metadata; obtaining a blood relationship model of the target data; based on the blood relationship model, the metadata type and the metadata attribute, performing data blood relationship analysis on the target data by adopting a preset graph algorithm to obtain a blood relationship analysis result of the target data; and based on the blood relationship analysis result, establishing a blood relationship graph of the target data, and displaying the blood relationship graph in a preset interactive interface. The invention further provides a device, equipment and a medium. In addition, the invention also relates to a block chain technology, and the metadata can be stored in a block chain. The method can be applied to the fields of financial insurance, medical health management and the like, and the blood relationship graph of the data can be efficiently and accurately established and displayed.

The invention relates to a migration method and system for a database table structure mapped by a metadata type, and the method comprises the following steps: obtaining table structures in a source database and a target database, and calling an interface to obtain metadata fields in the table structures; performing mapping analysis on the metadata fields to obtain candidate field mapping and corresponding mapping vectors; inputting the mapping vector into a gradient decision tree model to calculate a migration confidence coefficient mapped by each candidate field, wherein the migration confidence coefficient is a probability value for predicting successful mapping of the candidate field mapping; screening the candidate field mapping based on the migration confidence; if the migration confidence difference value mapped by the screened candidate fields is within a preset range, conflict arbitration is carried out according to a preset conflict resolution strategy, and a final migration decision is generated; and migrating the table structure of the source database to the target database based on the final migration decision.

The invention relates to the technical field of database management and data migration, and discloses a database metadata migration method, device, equipment and medium, comprising: configuring a metadata type mapping correspondence between a source database and a target database, establishing a source database read connection and a target database write connection, and obtaining a source data definition statement of the source database, storing the source data definition statement in a standard format, reading the source data definition statement from the intermediate storage medium, converting the source data definition statement into a target data definition statement conforming to the grammar specification of the target database, and finally executing the target data definition statement in the target database to complete the creation of the metadata object. By introducing the metadata type mapping corresponding relation and the standardized storage mechanism, the metadata difference between the heterogeneous databases is converted into a conversion process capable of being automatically processed, so that manual intervention is reduced, the migration error rate is reduced, and the automation level and reliability of database metadata migration are improved.

The invention relates to the technical field of data security, and discloses an automatic data grading protection method and system based on multi-feature fusion. The method comprises the following steps: acquiring a multi-source heterogeneous data stream, and extracting metadata type features and content semantic features in the multi-source heterogeneous data stream; dividing data dimension levels according to metadata type features, and generating a multi-dimension feature set in each dimension level based on content semantic features; and performing density clustering analysis on the multi-dimensional feature set, generating a dynamic grade threshold according to a clustering boundary distance and feature distribution density, and completing initial data grading. By fusing metadata types and content semantic multi-class features and combining density clustering and dynamic threshold adjustment, the method can comprehensively capture data attributes and improve the accuracy and adaptability of grading, is suitable for automatic grading protection of multi-source heterogeneous data, and effectively deals with challenges brought by dynamic changes of data features.

The invention relates to a data map generation and retrieval method and device, equipment and a medium. The method comprises the steps of collecting metadata and obtaining relation information; the collected metadata are registered in a data map after being cleaned, and definition is carried out according to a metadata type definition rule; establishing a graph database according to the entity information, the relation information and the attribute information; preprocessing and vectorizing the metadata, and storing the metadata to a vector library; obtaining input information of a user and analyzing the input information; if the user intention and the key information can be accurately identified, accurate matching is carried out; if not, preprocessing and vectorizing the user input to obtain a user input vector; performing retrieval based on a user input vector and a vector library, and screening preliminary candidate results; and sorting the candidate results, querying the graph database according to the sorting sequence, and feeding back a query result to the user. Compared with the prior art, the method has the advantages of high retrieval efficiency, accurate retrieval result and the like.

The invention relates to an online file system error detection method and device, belongs to the technical field of file system detection, and solves the problems that in the prior art, file system error detection and repair consumes too long time, shutdown is needed, and service continuity is affected. Comprising the following steps: acquiring a path of a to-be-detected file system, and further acquiring the type of the to-be-detected file system; based on the path and the type of the to-be-detected file system, super block metadata of the to-be-detected file system is read, and then global information of the to-be-detected file system is obtained; obtaining the reading rate of each metadata type based on the global information of the to-be-detected file system; and performing metadata detection on the to-be-detected file system based on the type of the to-be-detected file system and the reading rate of each metadata type to obtain a metadata detection result. And online and efficient error detection of the file system is realized.

A mechanism for processing video data is disclosed. The mechanism includes determining to signal dynamic metadata rendering information in a Joint Photographic Experts Group (JPEG) Artificial Intelligence (AI) codestream, wherein the dynamic metadata rendering information is signalled in a syntax structure comprising, an indication of a dynamic metadata type, an indication of a size of a dynamic metadata, and data bytes of the dynamic metadata. A conversion is performed between a visual media data and the JPEG AI codestream based on the dynamic metadata rendering information.

The application relates to an online file system error detection method and device, and belongs to the technical field of file system detection, which solves the problem that the file system error detection and repair in the prior art are time-consuming and need to be stopped, thereby affecting business continuity. The method comprises the following steps: obtaining the path of a file system to be detected, and then obtaining the type of the file system to be detected; based on the path and the type of the file system to be detected, reading superblock metadata of the file system to be detected, and then obtaining global information of the file system to be detected; based on the global information of the file system to be detected, obtaining the reading rate of each metadata type; based on the type of the file system to be detected and the reading rate of each metadata type, performing metadata detection on the file system to be detected, and obtaining a metadata detection result. The file system error detection is realized online and efficiently.

A method of validating a web browser when scripting is disabled, the method includes validation by default through using an automatically defined database metadata catalog to programmatically build forms with validation and validation messages based on the metadata, business logic, and application validation logic. The present invention creates client and server-side validation based on validation rules stored in tables and metadata types along with column sizing and business logic defined by the data modelers or developers. The method mimics a JavaScript framework with user interface and style elements when the client browser's settings are set to disable scripting.

The invention relates to the technical field of damage assessment, and particularly discloses a multi-target damage assessment method, device and system, and the method comprises the steps: obtaining a plurality of pieces of damage element information in a damage element database and a plurality of pieces of target vulnerability information in a target vulnerability database, the damage element information at least comprising a damage element name and a damage element type, the target vulnerability information at least comprises a target component, a target damage tree and a target component surface element damage threshold value; constructing a damage scene according to the multiple pieces of damage element information and the multiple pieces of target vulnerability information; according to the target vulnerability information and the damage element information in the damage scene, carrying out damage calculation on the target part under the multi-damage element coupling effect to obtain a target damage probability in the damage scene; and performing damage evaluation on the damage scene according to the target damage probability in the damage scene. According to the multi-target damage assessment method provided by the invention, damage assessment of multi-type and multi-number damage elements acting on a multi-target complex coupling effect at the same time can be realized.

The present disclosure relates to system and method for consolidating data attributes for optimizing data processing. The method comprises defining objectives associated with data along with data outcome expected after processing of data from a sample dataset through processor. The data outcome is predicted based on metadata associated with the data from the sample dataset. The method further comprises identifying metadata insights for classifying metadata into a plurality of metadata types through metadata crawler, generating an experienced based metadata by filtering metadata with incomplete information from the metadata according to the objectives and data output expected through the processor. The experience-based metadata comprises one or more metadata types from the plurality of metadata types and generating consolidated sample data by using the experienced based metadata through the processor. The consolidated sample data is generated based on validation of the consolidated sample data through predefined rules.

The invention provides a metadata organization management method and system, and the method comprises the steps: constructing a metadata management list based on a metadata object table, a metadata type table and a metadata relation table; determining a target metadata object and a target metadata type; on the basis of identifier information and metadata information corresponding to the target metadata type in the metadata management list, constructing a metadata body in a key-value pair form; constructing a metadata document based on the identifier information and the metadata body corresponding to the target metadata object in the metadata management list; and according to the at least one metadata document, constructing a metadatabase composed of metadata sets. The method flexibly adapts to metadata storage dynamic management requirements in different data fields, and has universality and universality.

The application provides a metadata-based railway engineering ECM management method, system and device, steps of the method comprising: performing primary coding and secondary coding on railway metadata types based on an international dictionary framework; establishing connection of data nodes and constructing a connection system; a document management stage of railway engineering involves multiple types of engineering construction nodes, and metadata and unstructured data required to be managed by engineering construction nodes of the same type are different in different document management stages, each engineering construction node corresponds to a data node, and in the same engineering stage document management stage, the data node corresponding to the lower-level engineering construction node inherits the data work authority of the higher-level data; whether a data instruction is effective is determined based on the work authority, if effective, the basic data is processed based on the data instruction, and is shared in each data node, and in each document management stage, metadata, authority data and unstructured data contained in the basic data are uniformly managed.

The embodiment of the invention discloses a data caching method and device, a cluster, a storage medium and a program product, relates to the technical field of data processing, solves the problem that high-frequency data is frequently evicted out of a memory space, and improves the cache hit rate. The method comprises the steps of obtaining target data; the target data comprises key value pair data; if the key value pair data comprises the key value pair data of the metadata type, caching the key value pair data of the metadata type in a first memory space; and caching the key value pair data of other types except the metadata type in the key value pair data in the second memory space.

The present invention discloses a database expansion method and system, wherein the method comprises: analyzing a user's functional expansion requirements, determining at least one item corresponding to the functional expansion requirements, and attribute tables corresponding to the at least one item. The attribute tables include basic attribute tables for multiple types of metadata and extended attribute tables for at least one of the metadata types. The multiple metadata types include: natural person metadata, organizational metadata, address metadata, object metadata, and event metadata. When the at least one item is new, the basic attribute tables for the multiple types of metadata and the extended attribute tables for the at least one metadata type corresponding to the new item are added to the database. By first analyzing and determining the relationships between the basic attribute tables and extended attribute tables for the five types of metadata, and then adding the corresponding basic attribute tables and extended attribute tables to the database, the expansion is relatively simple.

A method and apparatus for video processing, the apparatus comprising computer code, the method comprising: setting an image format metadata type identifier, the image format metadata type identifier indicating a type of metadata included in a supplemental enhancement information (SEI) message associated with a current image; in a code stream, signaling the image format metadata type identifier; and, on the basis of the image format metadata type identifier, encoding the current image in the code stream.

The application discloses a metadata-based knowledge graph processing method, comprising the following steps: S1) constructing a data unit taking metadata and attributes thereof as a unit; S2) classifying metadata by dividing metadata types according to enumeration types; S3) establishing corresponding documents according to different types and indexes of the metadata, wherein the documents contain unique identifiers of the metadata and metadata attributes; S4) forming a relationship node for each metadata and attribute thereof and storing the relationship node in a mesh mode; and S5) performing quick retrieval based on the relationship node of the metadata. The metadata-based knowledge graph processing method can reasonably store a metadata mesh structure and better perform retrieval and analysis.

In certain embodiments, a method of dynamically integrating vehicle-generated video and metadata. The method includes initiating playback of a video file in a display area. The video file includes recorded video in association with vehicle metadata of a plurality of vehicle metadata types. The method also includes determining priorities of a plurality of visual gadgets responsive to the initiated playback, where the plurality of visual gadgets are each associated with at least one vehicle metadata type of the plurality of vehicle metadata types. The method also includes selecting a subset of the plurality of visual gadgets based on the determined priorities. The method also includes causing the selected subset of the plurality of visual gadgets to be placed in the display area, each placed visual gadget of the subset graphically presenting at least a portion of the vehicle metadata of the associated at least one vehicle metadata type.

This application discloses a method for classifying metadata types, as well as an electronic device and a computer-readable storage medium. The solution provided by this application includes: acquiring field information of metadata in a target big data environment; constructing a target graph network based on the field information, wherein nodes in the target graph network represent metadata, and edges represent field information associated with two corresponding connected metadata; determining the weights of the field information of the metadata in the target graph network; training a node type discrimination model based on samples and labels determined by the node data corresponding to the nodes in the target graph network, wherein the labels include the application type of the metadata represented by the node corresponding to the target big data environment, and the sample features include the field information of the metadata represented by the node; and classifying the nodes in the target graph network into application types based on the type discrimination model.

The present disclosure provides a data processing method, apparatus, electronic device, and storage medium, relating to the field of computer technology, particularly to the field of big data processing technology. A specific implementation scheme comprises: generating at least one metadata corresponding to each data item in a database based on at least one metadata type; and determining, when determining that a data processing system calls data, determining the data called by the data processing system in the database based on the metadata type applicable to the data processing system and the metadata provided by the data processing system. Using embodiments of the present disclosure, the efficiency of data processing system calls is improved.

The application provides a metadata management method and device, electronic equipment and computer storage medium. The method comprises the following steps: firstly, completing the addition of a meta model to obtain an added meta model; then, registering registration information of file type data of the added meta model; wherein the registration information comprises basic information, a data source, field information, security information, management information and file transfer protocol information; then, performing collection configuration on the added meta model; wherein the collection configuration comprises a collection data source, a collection adapter and collection job information; then, collecting metadata according to the collection configuration; finally, storing the collected registration metadata and collection metadata; wherein the storage mode of the registration metadata and the collection metadata is the same storage structure, and the metadata type, the meta model number and the metadata name are used as the unique primary key to identify a metadata. The completeness of metadata management is effectively improved.

An information processing apparatus is provided. The apparatus obtains information on a 3D model of an object. The apparatus generates metadata on the 3D model of the object on a basis of the information in accordance with a metadata generation request including a metadata type designation. The apparatus transmits the metadata on the 3D model of the object generated in accordance with the generation request.