77 results about "Metadatabase" patented technology

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 belongs to the technical field of artificial intelligence, and relates to a data query method and device, computer equipment and a storage medium. Performing semantic analysis on the query information to obtain a semantic analysis result; performing data source matching and data field extraction on a preset metadatabase based on the semantic analysis result to obtain a data source positioning result and a data field extraction result; constructing statistical logic based on the semantic analysis result and the data field extraction result; obtaining a target retrieval statement template based on the semantic analysis result; performing parameter filling on the target retrieval statement template based on the semantic analysis result, the data source positioning result and statistical logic to obtain a big data retrieval statement; performing query processing on the business data based on the big data retrieval statement to obtain a query result; and sending the query result to the user. The method can be applied to data query scenes in the fields of finance, medical treatment and the like, and the processing efficiency and accuracy of data query are improved.

The invention discloses a power equipment detection method and device based on big data analysis, and belongs to the field of data processing.The power equipment detection method based on big data analysis comprises the following steps that a dynamic metadatabase is constructed, and equipment models, sensor configuration and physical parameters are recorded; compared with the prior art, the method has the beneficial effects that the problem of protocol heterogeneity and sampling frequency difference is solved and the data utilization rate is improved through dynamic metadatabase, proxy variable generation and sliding interpolation alignment aiming at a mixed scene of electric power heterogeneous equipment and deep compatibility of multi-source data; physical-data dual-drive modeling is carried out, knowledge graph constraint and dual-channel deep learning are fused, cross-device feature distribution alignment is realized under a transfer learning framework, and it is ensured that new and old device anomaly detection is accurate; and dynamic closed-loop optimization is carried out, and based on health index hierarchical evaluation and federated learning encryption gradient aggregation, threshold dynamic drift and model increment updating are realized, and fault early warning is advanced.

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.

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.

The invention discloses a data retrieval method and device, electronic equipment and a storage medium, relates to the field of artificial intelligence, and can store summary information of each document file by using a metadatabase and convert each page of each document file to obtain a page image. And storing a text vector generated by using each page of each document file by using a vector database, wherein the page image and the text vector are labeled with a file identifier corresponding to the document file and a page identifier corresponding to the page. When document searching is carried out, a text vector matched with document file query information can be retrieved in a vector database, then a corresponding page image is queried in a metadatabase by using a file identifier and a page identifier marked by the text vector, and then the page image is input into a multi-modal processing model for answer processing. The multi-modal processing model is helped to understand the association relationship between the text content and the image content through the page image, so that the answer quality is improved.

The present invention discloses a data storage method and device based on address redirection. The method comprises receiving a write request, extracting a data block identifier, data offset, and data length from the write request, determining whether the write is a large block or a small block based on the data length, querying a metadata database based on the data block identifier and data offset, and determining whether the write is a new write operation or an overwrite write operation; obtaining the bandwidth, IOPS, and latency of the HDD device within the current sliding time window to determine the load of the HDD device; writing data based on the load of the HDD device; and persisting data distribution information and address space usage information to the metadata database to complete data storage. The present invention utilizes the characteristics of the disk and the current load to perform IO scheduling between the SSD device and the HDD device, and combines the address redirection and small block write aggregation characteristics of the storage system to improve the performance of the storage system.

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.

A backup device. The backup device includes: backup device storage configured to persistently maintain data and metadata related to distributed storage cluster backups according to a container-scalable file structure. The container-scalable file structure includes: a first level (L1) including at least one backup directory and a L1 metadata database; a second level (L2) branching from each backup directory of the at least one backup directory, and including at least one container directory and a L2 metadata database; and a third level (L3) branching from each container directory of the at least one container directory, and including a staging directory, a L3 metadata database, and a container data file.

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.

Systems and methods described herein which can involve, for receipt of a composed digital twin, processing the composed digital twin through a policy core process that determines a policy for the digital twin; executing an asset core process that determines an asset hierarchy of physical assets represented by the digital twin based on metadata of the physical assets retrieved from a metadata database and the determined policy; executing a sensor core process that determines a sensor hierarchy to be associated with the asset hierarchy based on metadata of sensors retrieved from the metadata database of the sensors and the asset core process; executing an analytics solution core that determines analytics solutions for the physical assets; constructing pipelines to facilitate the analytics solutions across a policy core layer, asset core layer, sensor core layer, and analytics solution core layer of the digital twin; and executing the pipelines.

A computer system includes a telecommunication server of a telecommunication system operator, is configured to store and route a communication detail record (CDR), a CDR database a metadata database, and a CDR router configured to inspect / analyze the metadata in each CDR and based on the analysis route the CDR to one or more country-specific and / or region-specific CDR storage units. The computer system may also include a legal database in communication with the CDR router, wherein the legal database includes the legal requirements for CDR storage of one or more countries and / or one or more regions and a legal server configured to obtain updates to the legal requirements and store them in the legal database. A method implemented on the telecommunications system receives and stores from the telecommunication server metadata from a telecom event and saves it as a CDR. The CDR is routed, utilizing the CDR router to one or more country-specific CDR storage units.

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.

A backup device. The backup device includes: backup device storage configured to persistently maintain data and metadata related to distributed storage cluster backups according to a container-scalable file structure. The container-scalable file structure includes: a first level (L1) including at least one backup directory and a L1 metadata database; a second level (L2) branching from each backup directory of the at least one backup directory, and including at least one container directory and a L2 metadata database; and a third level (L3) branching from each container directory of the at least one container directory, and including a staging directory, a L3 metadata database, and a container data file.

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 discloses a backup method and electronic equipment, and relates to the technical field of data backup, and the backup method comprises the following steps: creating a target backup task to write target backup file data into a shared file cluster; updating the runtime state of the target backup task to a shared metadatabase cluster; by utilizing a shared file cluster and a shared metadatabase cluster, backup file data and a runtime state are separated from dependence of a single backup node, and the problem of data loss caused by a fault of the single backup node is solved; when the first backup node fails, the shared metadatabase cluster can quickly determine the second backup node, and the second backup node starts to continuously execute the target backup task from the breakpoint indicated by the runtime state, so that the synchronization of the runtime state and the automatic switching of the backup nodes are realized, and the reliability of the target backup task is improved. And the problems of low backup efficiency and invalid resource consumption after the fault are solved.

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 provides a test case generation method and device and a medium, and relates to the technical field of computers. The method comprises the following steps: receiving an instruction for indicating to generate a test case, and obtaining a test role and a test task according to the instruction; querying a preset metadatabase according to the test role and the test task to obtain first test steps required by the test role to complete the test task and a dependency relationship between the first test steps; querying a preset graph database according to the metadata to generate a test case graph, nodes in the test case graph representing the first test steps, and edges representing a dependency relationship between the first test steps; and generating a test case according to the test case graph. According to the method and the device, the roles are automatically associated, the test case is generated by the visual test case graph, and the test case generation quality 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 application relates to a Chinese natural language generation SQL sentence and cross-database query method, which comprises the following steps: pre-processing a natural language sentence, obtaining a phrase segment, and dividing the phrase segment into multiple alternative segments; if the alternative segment is surrounded by a symbol, the alternative segment is marked as a value; then, according to a preset dictionary, the synonyms of the remaining alternative segments are obtained; the alternative segments and the synonyms are matched with table annotations, field annotations and label metadata in a preset metadata database; according to the table annotations, the field annotations or the label metadata matched by the alternative segments, the database name is obtained, and the alternative segments and the synonyms are marked as table names, field names or values; then, a new string is generated; through encoding and decoding of the string, the SQL is generated according to the SQL syntax rules in combination with the value. The application can improve the accuracy of the SQL sentence when the SQL sentence is applied to in-depth query in the corresponding field, and can reduce the situation that the query result does not match the real intention of the user query.

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.