41 results about "Metadatabase" patented technology

The invention discloses an AI Agent-assisted enterprise data analysis method and system, and relates to the technical field of data analysis, and the method comprises the steps: connecting an enterprise network switch, deploying an RS-485 management network, and deploying at least two AI Agent computing nodes at the edge side of the enterprise network switch; carrying out storage redundancy analysis to obtain a redundancy label matrix; establishing a distribution relationship; issuing a redundancy processing task according to the distribution relationship, and performing data processing to obtain a plurality of return data sets; and performing overlay storage on a metadatabase of the enterprise storage management center according to the plurality of return data sets. The technical problems that in the prior art, storage redundancy of an enterprise meta-database is difficult to recognize accurately, storage optimization after data processing is insufficient, and consequently enterprise data storage efficiency is low are solved, efficient redundancy processing and optimized storage of the meta-database of the enterprise storage management center are achieved, and the enterprise data storage efficiency is improved. And the technical effect of enterprise data storage efficiency is improved.

The invention relates to the technical field of data processing, and particularly provides a dynamic updating method, system and device for an AI intelligent question and answer knowledge base and a medium, and the method comprises the steps: obtaining to-be-updated content, extracting effective information from the to-be-updated content through a semantic recognition technology, and storing the effective information in a temporary file; matching the temporary file with metadata of a file which is uploaded to a knowledge base in a pre-constructed metadatabase; if the metadata matched with the temporary file exists, not executing the operation of updating the temporary file to the knowledge base; if the metadata matched with the temporary file does not exist, calling an interface of a knowledge base platform to update the temporary file to a knowledge base; and obtaining metadata of the temporary file returned by the knowledge base platform in the knowledge base, and storing the metadata in the metadatabase. Effective information is extracted through semantic recognition, and a metadata matching mechanism is combined, so that intelligent dynamic updating of the knowledge base is realized.

The invention belongs to the technical field of building information model and cultural heritage digital protection, and particularly relates to a historical building BIM refined modeling method based on multi-source data fusion, and the method comprises the steps: collecting multi-source heterogeneous data such as three-dimensional laser point cloud, unmanned aerial vehicle oblique photography and surveying and mapping drawings; spatial calibration is carried out under the unified geographic coordinates and time reference, and a structured metadatabase is constructed; based on building component classification and fineness grading standards, parameterized BIM modeling is executed, and details such as a platform base, a bucket arch and a roof are truly restored; parameterized reconstruction and environment integration of the vegetation system are synchronously carried out; and finally, importing an unreal engine, and constructing a high-fidelity and strong-immersion digital humanity scene in combination with physical rendering, dynamic weather, day and night circulation and AI interaction logic. According to the method, total-factor, high-precision and interactive digital twinning of historical buildings is realized, and the protection, display and activation utilization level of cultural heritage is remarkably improved.

A method for enhancing backup and recovery of a virtual machine, including receiving, in connection with a backup operation, a metadata database and a backup image of the virtual machine. The method also includes making a first determination, based on the metadata database, that a portion of the backup image includes an anomaly, rewriting, in response to the first determination, the portion of the backup image to obtain a modified backup image, storing rewrite details in the metadata database to obtain a modified metadata database, and, after the storing, receiving a request to initiate a recovery operation for a host, providing the modified backup image and the modified metadata database to the host, mounting, at the host, the modified backup image, and performing a recovery operation for the virtual machine on the host using the modified metadata database and the modified backup image.

A system for contextual analysis and metadata database generation for user-specific speech patterns is disclosed. The system accesses a speech signal of a user and identifies the user based on the voice print associated with the user. The system splits the speech signal into a first set of audio frames, where each audio frame comprises an utterance of one or more words. The system determines a context associated with each word. In response, the system detects a context change between a first text and a second text. The system generates a contextually split set of frames by splitting the speech signal into a second set of audio frames according to the detected context changes.

The invention discloses a data cleaning system and method for inconsistent remote sensing image attribute information in the technical field of satellite surveying and mapping. The method comprises the following steps: acquiring multi-source remote sensing image data; carrying out attribute information analysis based on the multi-source and multi-source remote sensing image data and the product content thereof; extracting attribute information of the analyzed multi-source remote sensing image data; performing inconsistency detection on the extracted attribute information of the multi-source remote sensing image data, and identifying and positioning inconsistent data; and repairing inconsistent data by mining a frequent item set and an association rule in the data. According to the method, inconsistent remote sensing image metadata, database field tables and the like are effectively detected and repaired through technical means such as an inconsistent data cleaning method based on the maximum dependency set and attribute association, the inconsistent processing efficiency of attribute information such as the metadata, the database field tables and the like is further improved, and remote sensing image storage, application and management are supported.

The application discloses an analysis method, device and equipment of a measurement data format (MDF) file and a medium. The method comprises the following steps: parsing each MDF file imported by a test system, generating a standard data table and metadata corresponding to each MDF file according to the parsing result, and storing the metadata into a metadata database; generating a column storage file corresponding to each standard data table, and storing each column storage file into a query database; determining a target analysis component according to an analysis requirement selected by a user, and determining a plurality of target column storage files in the query database according to the analysis requirement and the metadata database; and analyzing each target column storage file by using the target analysis component to obtain an analysis result. By using the technical scheme, the MDF file can be converted into an open source format for storage, so that the data in the MDF file can be parsed by using a simple data analysis tool, and the query efficiency of the data in the MDF file is effectively improved.

A method for providing a single-point promulgation of protection policies that includes receiving, at a backup storage and in connection with a backup operation, a metadata database associated with multiple hosts. The method also includes identifying, using the metadata database, each of the hosts associated with the metadata database. The method further includes identifying, for each of the identified hosts, a set of applications. In addition, the method includes retrieving a set of protection policies. Moreover, the method includes determining, based on the identified hosts and associated sets of applications and using the set of protection policies, a set of host protection policies, wherein each of the hosts is associated with a protection policy from the set of protection policies. Also, the method includes sending, to each of the hosts, an associated protection policy.

The present disclosure provides an electronic apparatus. The electronic apparatus comprises: a display; a microphone; and at least one processor, wherein the at least one processor is configured to receive a user voice input through the microphone, obtain a first query embedding on the basis of the user voice input, obtain respective similarities between the first query embedding and a plurality of metadata embedding vectors included in a metadata database, obtain one or more pieces of similar metadata having a similarity greater than or equal to a first threshold value from among the plurality of metadata embedding vectors on the basis of the similarities, determine an order of the one or more pieces of similar metadata on the basis of the similarities or weights assigned to one or more pieces of metadata corresponding to the same content, and control the display to output information related to content corresponding to the one or more pieces of similar metadata in the determined order.

A database system writes data to a volatile memory and generates metadata associated with the data written to the volatile memory. The database system stores a message usable to confirm that the data was written in the volatile memory and links the metadata to the message. A data structure receives the data and the metadata and stores at least the data. A service managing the data structure provides a confirmation that the data was stored by the data structure. The confirmation includes at least the metadata associated with the data. The database system, in response to the confirmation that the data was obtained by the data structure, identifies the stored message using the metadata included with the confirmation and then releases the message.

A method for efficient backup and recovery validation includes receiving, as part of a backup operation for a host and at a backup storage, a backup copy from the host; retrieving a metadata database from the backup copy, where the metadata database includes a host checksum value based on a portion of the backup copy; parsing, using a backup agent, the metadata database by appending the metadata database with a backup checksum value based on the portion of the backup copy; making a first determination, using the backup agent, whether the portion of the backup copy is abnormal based on a comparison between the host checksum value and the backup checksum value; and appending, based on the first determination, the metadata database with a recoverable identifier to generate a recovery metadata database, where the recoverable identifier causes an adjustment to a recovery operation.

The application provides a data governance method, device, equipment and storage medium. The method comprises the following steps: obtaining a target data standard in a data standard component; controlling the data standard component to send the target data standard to a data quality component, so that the data quality component detects metadata in a database table according to the target data standard, the database table being a table created by a data model component; if the detection result indicates that the metadata does not match the target data standard, controlling the data standard component to send the target data standard to the data model component; and the data model component processes the metadata in the database table according to the target data standard to obtain a processed target database table. The method solves the problems of how to guide the collaborative change of each component of data governance when the data standard version is updated and how to guarantee the consistency of the version, and realizes the real-time unification of the data standard in data governance.

The invention relates to the technical field of multimedia data management, and discloses an audio file metadata identification and completion method and system, a storage medium and equipment, and the method comprises the steps: scanning an audio file, reading an embedded metadata tag of the audio file, and judging the metadata missing degree; extracting audio fingerprint characteristics of the audio file with the missing metadata, and analyzing a file name to obtain candidate metadata information; initiating a query request to a metadata database based on at least one of the audio fingerprint features and the candidate metadata information, and obtaining a returned candidate metadata set; carrying out credibility evaluation and data fusion on the candidate metadata sets of different sources, and determining an optimal metadata set; and writing the optimal metadata set into the metadata tag of the corresponding audio file, and synchronously updating the index of the local music library, thereby automatically complementing the audio file lacking metadata through the method, and improving the user experience and the product value of the audio playing equipment.

Systems and methods that for a scalable versioned database that can organize data into scenarios and hives. These define how data visibility is controlled by scenarios, and how data can be transferred between scenarios. In some embodiments, queries and algorithms can be executed in independent processes, which may execute in parallel, and on independent machines. Furthermore, data objects can be placed in shared storage, and metadata objects can be placed in a metadata database which supports ACID transactions. Data objects are not modified in place after they are constructed, while metadata objects can be updated transactionally, using the metadata database. Data can be updated by creating new data objects and connecting them to scenarios with new metadata objects. Finally, obsolete data may be cleaned up by identifying unreachable data, which is safe to delete.

The invention relates to the technical field of databases, in particular to a PHP-based method for realizing dynamic storage of media asset cataloguing metadata, which comprises the following steps: for newly added metadata, creating a primary key ID field of a data table and setting a material index associated with media asset materials; extracting attribute information from the metadata, and configuring field information according to the attribute information; and establishing an attribute table corresponding to the metadata according to the field information, and organizing the attribute table into an attribute group table. Aiming at the problem that a metadata database in the prior art is poor in performance during processing of multi-type metadata, effective organization of the metadata is realized by introducing an attribute table and an attribute group table, dynamic configuration of a metadata structure is supported, different business requirements can be met without code modification, and the dynamic configuration of the metadata structure is supported. The support for different types of metadata structures is improved, and effective association for multiple types of metadata is improved.

The invention discloses a query method and device, equipment, a storage medium and a program product, and relates to the technical field of image processing, and the method comprises the steps: obtaining a first query request comprising an identifier corresponding to a vehicle; based on a metadatabase associated with the identifier of the vehicle, a first query result is determined, and the first query result comprises a view angle set corresponding to an image shot by the vehicle and a collection time period corresponding to an image under each view angle in the view angle set; the first query result is sent, a second query request of a target view angle and / or a target time period is obtained, the target view angle belongs to the view angle set, and the target time period is included in the collection time period; and sending a target image corresponding to the target view angle and / or the target time period. Therefore, by means of metadata front feedback, irrelevant personnel are prevented from making contact with the original image containing privacy, accurate retrieval instead of full exposure is achieved through target range limitation, only the image actually needed by a user is provided for the user, and the exposure range and frequency of privacy information are reduced.

The subject technology receives a first request to create a container service, the request indicating a service specification for creating the container service. The subject technology generates a set of endpoints based on the service specification. The subject technology generates a set of roles based on the service specification. The subject technology stores service metadata related to the set of endpoints and the set of roles in a metadata database. The subject technology instantiates the container service at a container services cluster, the container services cluster including a set of worker nodes, the container service being deployed on a worker node from the set of worker nodes, and enforces security policies based on the roles and service metadata. The subject technology coordinates with Role Based Access Control (RBAC) and network policies of the subject database system and transparently enforces the same policies over in the subject container system.

An electronic device including a display; a microphone; and at least one processor configured to: receive a user voice input through the microphone, obtain a first query embedding based on the user voice input, obtain similarities between a plurality of metadata embedding vectors included in a metadata database and the first query embedding, obtain, among the plurality of metadata embedding vectors, one or more similar pieces of metadata having a similarity greater than or equal to a first threshold value based on the similarities, obtain an order of the one or more similar pieces of metadata based on the similarity or a weight for at least one metadata belong to a same content, and control the display to output, according to the order, information related to contents corresponding to the one or more similar pieces of metadata.

Systems and methods for an integrated development environment (IDE) are provided. The system may include a common core and a model-view-adapter (MVA) plugin. The common core is executable to transfer data objects to and / or from a metadata database over a network, where the common core is executable within an IDE configured to customize a customizable application, and where application logic of the customizable application is configured to customize aspects of the customizable application based on the data objects. The MVA plugin is executable to generate a visualization of and / or edit a data object of a data object type. The MVA plugin includes a MDO controller, a MDO view, and a MDO adapter. The MDO controller is executable to control the data object in response to IDE events received from the MDO adapter. The MDO view is executable generate the visualization of the data object via the MDO adapter.

A building updating method based on multi-source data fusion relates to the field of surveying and mapping, and comprises the following steps: collecting remote sensing image data, high-precision topographic map data and combination table data; carrying out coordinate unification processing on the collected data; building basic data manufacturing; building graphic achievement production; making attributes; and associating the manufactured metadata with the building result data, and storing the metadata and the building result data in a metadatabase. The method has the advantages that basic building data 1 are extracted by taking a high-precision topographic map as a core; superposing auxiliary data such as a digital surface model and the optical image on an input layer, jointly inputting the auxiliary data and the optical image into a deep learning model, and extracting building data 2 in the image; the basic building data 1 is updated by using the building data 2, so that changes can be quickly found from the latest image by using deep learning, and the authority and precision of the updated data can be ensured to inherit from an original surveying and mapping result.

A method for efficient backup and recovery validation includes receiving, as part of a backup operation for a host and at a backup storage, a backup copy from the host; retrieving a metadata database from the backup copy, where the metadata database includes a host checksum value based on a portion of the backup copy; parsing, using a backup agent, the metadata database by appending the metadata database with a backup checksum value based on the portion of the backup copy; making a first determination, using the backup agent, whether the portion of the backup copy is abnormal based on a comparison between the host checksum value and the backup checksum value; and appending, based on the first determination, the metadata database with a recoverable identifier to generate a recovery metadata database, where the recoverable identifier causes an adjustment to a recovery operation.

The invention discloses an applet increment updating distribution system and an applet increment distributing and updating method.The system comprises a client side, a server side and a storage system, the server side comprises a version management module, an increment package generation module and a distributed updating module, and the version management module is used for constructing a version dependency graph based on a version metadatabase; calculating an upgrade chain from the current version to the target version, and calculating an optimal update path by using a graph theory algorithm; the incremental package generation module is used for identifying difference data blocks between the target version and the basic version based on a rolling hash algorithm, and packaging the difference data blocks to generate an incremental update package; and the distributed updating module is used for receiving a version updating request of the client, selecting an optimal updating node based on the geographic position and bandwidth of the client, and transmitting an incremental updating packet of the version to the client from the optimal updating node according to an updating path. According to the method and the device, the minimum consumption of flow during version updating is realized, and the updating speed is remarkably improved.

A method for enhancing backup and recovery of a virtual machine, including receiving, in connection with a backup operation, a metadata database and a backup image of the virtual machine. The method also includes making a first determination, based on the metadata database, that a portion of the backup image includes an anomaly, rewriting, in response to the first determination, the portion of the backup image to obtain a modified backup image, storing rewrite details in the metadata database to obtain a modified metadata database, and, after the storing, receiving a request to initiate a recovery operation for a host, providing the modified backup image and the modified metadata database to the host, mounting, at the host, the modified backup image, and performing a recovery operation for the virtual machine on the host using the modified metadata database and the modified backup image.

The invention provides a file system metadata management method and device, electronic equipment and a readable medium. The method comprises the steps that a path analysis request of a target object is obtained, the target object is a target file or a target directory, and the path analysis request comprises object path information of the target object; according to the object path information and a root directory metadata entity identifier of a root directory of the file system, a target entity identifier of a target object metadata entity is obtained from a metadata relation table of a metadata database, the metadata relation table comprises path relations between object metadata entities in a metadata entity table of the metadata database, and the path relations between the object metadata entities in the metadata entity table of the metadata database are obtained; a metadata entity table of the metadata database comprises entity attribute information of the object metadata entity; and according to the target entity identifier, reading target entity attribute information of the target object metadata entity from the metadata entity table. According to the method, the data bearing capacity and the operation efficiency of the file system can be improved.

The invention discloses a digital platform construction method supporting multi-space isolation. The method comprises the following steps: S1, creating an independent space entity for each user, distributing a globally unique space identifier, and storing the globally unique space identifier and configuration information in a metadata database; s2, automatically deploying resource configuration in a preset template to a corresponding space entity based on the space identifier, and constructing an independent operation environment; and S3, based on the space identifier, executing at least one isolation operation: performing isolated scheduling and execution on a scheduling task, performing isolated migration and processing on a data pipeline, or performing isolated routing and response on data query. According to the method and the system, through logic and resource isolation is realized in three core functions through a uniform'space identifier ', the technical problem that isolation and resource efficiency are difficult to consider in a multi-tenant environment is solved, and unification of safe isolation, efficient reuse and rapid delivery is realized.

The invention provides a sequencing data processing method, device and equipment, a medium and a product, and relates to the technical field of nucleic acid sequencing. The method comprises the following steps: acquiring a sequencing read segment of a target sample, wherein the sequencing read segment comprises a first tag code and a second tag code; determining whether the information bit coding is correct based on the check bit coding; determining an information bit coding error, and determining the position of an error basic group in the information bit coding and a corresponding correct basic group by adopting a preset RS algorithm to generate a corrected first mark code; obtaining metadata of the target sample from a preset metadatabase based on the first tag code; determining whether the second tag code is correct or not based on the metadata and the corrected first tag code by adopting a preset Hash algorithm; and determining that the second tag code is correct, and determining the corrected first tag code and the second tag code as the tag of the target sample. Double verification is carried out on the sequencing read segment comprising the two tag codes, the sample confusion condition is remarkably reduced, the tag codes comprise metadata, and manual recording errors are reduced.

The subject technology stores an original file master key identifier (FMKID) in metadata associated with an encrypted file, the encrypted file including data. The subject technology determines that the encrypted file is to be re-encrypted based at least on a period of time since the original FMKID was stored. The subject technology re-encrypts the data using a new encryption key associated with a new FMKID. The subject technology generates a mapping from the original FMKID to the new FMKID. The subject technology stores the mapping in a metadata database, the mapping being associated with a re-encrypted file, the re-encrypted file including the re-encrypted data.

The present application concerns a method and a system of storing one or more service data items. To store and share in particular confidential data, the one or more service data items are partitioned into one or more data stores. The one or more data stores are stored. Metadata of the one or more data stores is generated and the metadata is stored in a metadata database.

The database comparison system based on question classification and questioner classification of the present disclosure includes: a question receiving and classification module that receives and analyzes natural language questions entered by users and classifies the question type; a user profiling and questioner classification module that generates a user-customized query based on the user's profile and past interaction records; a metadata search and large-scale language model linkage module that searches a vector database for metadata matching the question after the question is classified; a database comparison and generation module that automatically generates an optimized database query based on the metalanguage generated by the large-scale language model linkage module; and a data processing and output module that transmits the generated database query to a database to retrieve the results, and provides the data processed by the data processing module with a response converted in a format suitable for the user.

A method, apparatus, computer system, and computer program product for managing information. A set of bucketed hashes and comparison information for a data record is identified by a computer system. The set of bucketed hashes is generated from the comparison information, wherein the set of bucketed hashes and the comparison information form a metadata record. A plurality of candidate metadata records in a metadata database is identified by the computer system using the set of bucketed hashes, wherein the plurality of candidate metadata records includes a set of candidate bucketed hashes and candidate comparison information. An entity membership for the data record is identified by the computer system from a comparison of the comparison information in the metadata record to the candidate comparison information in the plurality of candidate metadata records.