236results about "Object oriented databases" patented technology

Provided is a process including: receiving a data token to be passed from a first node to a second node; retrieving machine learning model attributes from a collection of one or more of the sub-models of a federated machine-learning model; determining based on the machine learning model attributes, that the data token is learning relevant to members of the collection of one or more of the sub-models and, in response, adding the data toke to a training set to be used by at least some members of the collection of one or more of the sub-models; determining a collection of data tokens to transmit from the second node to a third node of the set of nodes participating in a federated machine-learning model; and transmitting the collection of data tokens.

The invention relates to the field of financial science and technology, and particularly discloses a cross-platform financial data integration and real-time analysis system and method. The system is characterized in that a distributed heterogeneous data acquisition module accesses multi-source data in parallel through a pluggable protocol adapter; the streaming data cleaning engine realizes field-level normalization based on a dynamic template and semantic mapping; the hybrid storage architecture forms a three-level system by a memory database, a time sequence database and distributed file storage; the stream processing core engine adopts an elastic sliding window to execute CEP complex event processing; and the dynamic analysis decision module integrates online machine learning to generate a real-time transaction signal. The method comprises the steps of multi-source concurrent acquisition and microsecond-level timestamp injection, context sensing data standardization, dual-channel data storage, event time window aggregation, dynamic risk calculation and block chain audit evidence storage. The defects of low data fusion efficiency, high real-time analysis delay and the like in the prior art are overcome, and cross-platform data processing timeliness and decision accuracy are remarkably improved.

The invention discloses a spacecraft space environment safety guarantee system and method based on three-step calculation, and the system comprises two subsystems: a space environment data service subsystem and a three-step calculation and analysis subsystem, and the three-step calculation and analysis subsystem calls data and an algorithm model from the space environment data service subsystem. The space environment safety guarantee analysis based on the three-step calculation is executed; the space environment data service subsystem comprises a metadatabase and a comprehensive database; the metadatabase comprises space environment space-based monitoring data, space environment foundation monitoring data and data from a specified space environment mechanism; the comprehensive database comprises a space environment numerical calculation model library and a spacecraft business application rule algorithm model library; the three-step calculation and analysis subsystem comprises a sun-earth space environment analysis and calculation module, a spacecraft orbit ring layer environment analysis and calculation module and a spacecraft task influence risk assessment and calculation module, and three-step calculation is executed through the three modules.

The present disclosure involves systems, software, and computer implemented methods for integrated data privacy services. An example method includes receiving a request to initiate an aligned purpose disassociation protocol for a purpose for an object instance. A determination is made as to whether a timestamp is stored for the purpose and the object instance that indicates an earliest time that the purpose can be disassociated from the object instance. The request is accepted in response to determining that no timestamp is stored for the purpose and the object instance that is greater than the current time. A status request is sent to applications that requests a status response that indicates whether an application can disassociate the purpose from the object instance. Status responses are received from at least some of the applications. A disassociation decision for the purpose and the object instance is determined based on the received status responses.

A method includes determining a set of features associated with a set of vertices of a directed graph, obtaining a set of feature values associated with the set of vertices, where each respective vertex of set of vertices is associated with a respective subset of feature values. The method includes determining updatable features based on the set of features, selecting a first subset of features based on the set of updatable features. Selecting the first subset of features includes determining candidate subsets of features, determining feature subset scores associated with the candidate subsets of features based on a category label, and selecting the first subset of features based on the feature subset scores. The method includes performing a first operation to determine extracted feature values by determining feature extraction input values.

The present disclosure involves systems, software, and computer implemented methods for integrated data privacy services. An example method includes receiving a request to initiate an aligned purpose disassociation protocol for a purpose for an object instance. A determination is made as to whether a timestamp is stored for the purpose and the object instance that indicates an earliest time that the purpose can be disassociated from the object instance. The request is accepted in response to determining that no timestamp is stored for the purpose and the object instance that is greater than the current time. A status request is sent to applications that requests a status response that indicates whether an application can disassociate the purpose from the object instance. Status responses are received from at least some of the applications. A disassociation decision for the purpose and the object instance is determined based on the received status responses.

The embodiment of the invention provides a data processing method based on a three-dimensional hierarchical data model, a platform and a medium. The method comprises the following steps: firstly, acquiring multi-source hydrogeological data; classifying the data to obtain a first type of data and a second type of data; then, according to the three-dimensional hydrogeological hierarchical model, extracting a hierarchical association relationship of the two types of data; the first class data and the second class data are used for representing the incidence relation of the first class data and the second class data at different levels of geological observation angles; storing the first type of data in a relational database, and storing the second type of data in a non-relational database; and finally, according to the hierarchical association relationship, establishing a hydrogeological knowledge graph and storing the hydrogeological knowledge graph in an interactive coordination system. According to the method, after the multi-source hydrogeological data are classified, the incidence relations at different levels of geological observation angles are extracted and stored in the relational database and the non-relational database respectively, mapping between the databases is established by adopting the knowledge graph, the multi-source hydrogeological data are effectively integrated, and meanwhile query is facilitated.

Various examples of improving an in-memory graph query engine using a persisted storage component are provided. The method includes updating data stored in an in-memory graph query engine and, based on updating the data, converting the data to a plain text form that may be more efficiently stored in the persistent storage component. The method further includes updates to additional in-memory graph query engines from the persistent storage component such that in-memory data stored in the graph query engines is synchronized.

The invention provides an SQL (Structured Query Language) statement generation system, a multi-source knowledge base cluster module comprises a plurality of vector libraries, each vector library is used for storing a data vector of a data type corresponding to the vector library, a query understanding module can analyze and process a natural language query problem input by a user after receiving the natural language query problem, and the query understanding module can obtain a query result. According to the technical scheme, the vector engine module can perform collaborative retrieval on at least one vector library according to the processed query problem to obtain the target data information, multiple data types are respectively stored in different vector libraries, so that only the vector libraries related to the processed query problem need to be retrieved, and the retrieval efficiency is improved. According to the method, the retrieval accuracy is improved, multiple vector libraries correspond to multiple data vectors of different data types, and the accuracy of the generated SQL statements can be improved.

The invention provides a data synchronization optimization method and system based on metadata version control, and the method comprises the steps: responding to the change of metadata of a barrel in a source site, generating a metadata synchronization log, and recording the version number of the barrel in the metadata synchronization log; pulling the metadata synchronization log from a site, and analyzing the metadata synchronization log to obtain a version number of the bucket; if the metadata of the bucket does not exist in the slave site or the version number of the bucket in the slave site is smaller than the version number recorded in the metadata synchronization log, stopping the current data synchronization operation, and adding the data synchronization task of the bucket into a data synchronization retry queue; and in response to the fact that the metadata version number of the bucket is consistent at the master site and the slave site, allowing the slave site to continue to execute the data synchronization operation of the bucket. Through combination of various technologies, the version of the metadata is automatically identified, so that the object is synchronized to the correct target bucket.

The invention discloses a charging pile operation state evaluation method and system, and the method comprises the following steps: S1, building a cross-source data integration library based on the operation state sample data of a charging pile, S2, carrying out the layering processing of the cross-source data integration library, S3, carrying out the segmentation processing of a charging pile cross-source data set, and S4, carrying out the evaluation of the operation state of the charging pile. Calculating the fatigue degree of the cross-source data set of the charging pile according to the cross-source data integration library, and marking when the fatigue degree exceeds a fatigue degree threshold value; s5, for the marked charging pile cross-source data set, the sensitivity of the charging pile cross-source data set is calculated according to the cross-source data integration library, and when the sensitivity exceeds a sensitivity threshold value, marking is carried out; s6, the fatigue degrees and the acuity degrees of all the charging piles in the charging pile cross-source data set are calculated independently, when the specific fatigue degree and the specific acuity degree exceed threshold values, marking is carried out, and the evaluation grade is improved; the normal operation state of the charging pile can be ensured to the maximum extent, the monitoring efficiency can be improved, and the computing power consumption is reduced.

A computer-implemented method implemented in a blockchain network is described. Validation nodes receive data regarding a newly mined block comprising a plurality of transactions and send a delete request to a distributed memory pool to delete the plurality of transactions from the distributed memory pool. Nodes storing the distributed memory pool store a plurality of transactions, the plurality of transactions forming at least part of a distributed memory pool of transactions waiting to be mined into a block of a blockchain. The computer-implemented method further comprises receiving a delete request from a validation node of the blockchain network, the delete request identifying one or more transactions which have been included in a newly mined block, the delete request indicating that the one or more transactions should be deleted from the distributed memory pool.

A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: generating a tag for an object within a data center asset, the tag for the object associating a contextual meaning with the object; registering the tag when the tag is generated; storing the tag within a tag storage repository when the tag is registered; and, managing an aspect of the tag via a data tag management operation.

The described technology pertains to a distributed computing environment, specifically implementing a streaming protocol on a scalable object storage service. The technical problem addressed is the high computing resource demand of distributed streaming platforms. The solution involves separating content from location metadata, allowing centralized, scalable storage of metadata. Brokers store content in object storage services based on specific metrics, such as fast read / write times or greater storage capacity. A background platform remaps metadata sequences based on logical timestamps, optimizing data retrieval. This system enhances the efficiency of computing resources by reducing the load on brokers and improving data access speeds. A use can be in cloud computing systems for efficient content streaming and storage management.

A computer-implemented method for determining a message in a message queue of an information technology system. The method may include receiving an information technology event data object in an object-relational database management system, the information technology event data object including metadata; determining a change to the object-relational database has occurred by implementing a change data capture platform; determining, using the change data capture platform, a log file of the change to the first table, the log file including the metadata from the information technology event data object; deploying the log file to a message queue; and processing, through a consumer module, the log file of the message queue to perform an action.

The embodiment of the invention discloses a multi-modal analysis and diagnosis model based on combination of multi-source data fusion and a large model, and belongs to the technical field of large models, and the model comprises a scene model module which is used for calling different function modules according to different tasks and scenes; the industry large model module is used for establishing different industry large models according to different industry requirements; the task execution module is used for calling different task models and function applications according to different task requirements; the matching tool module is used for providing tools or engines according to task requirements; the data knowledge module is used for establishing various databases and storing different data in the corresponding databases in a classified mode, diversified and fragmented AI application requirements can be rapidly met, the development cost and time can be reduced, the development efficiency can be improved, information and value in the data can be fully mined, and the development efficiency can be improved. And the influence caused by insufficiency or inaccuracy of the annotated data can be avoided.

The invention provides a memory-based man-machine interaction method, electronic equipment, a medium and a program product, and relates to the technical field of artificial intelligence. Based on an interaction scene corresponding to the multi-modal interaction input information, performing long and short term memory hierarchical storage processing, memory mixed retrieval processing and / or memory active forgetting processing on the multi-modal interaction input information to obtain processed target memory data; and generating a multi-modal interaction output result based on the target memory data. By adopting the method and the device, memory-based dynamic response can be realized in human-computer interaction based on a scenarized layered humanoid memory architecture.

The invention provides a database index implementation method based on object storage, which is used for solving the problem of efficient retrieval when object storage is used as a database storage engine. According to the method, a special index storage structure is constructed in object storage and comprises an index metadata area and an index data area, and index data is organized through a segmentation management mechanism. Each segment in the index data area comprises a Bloom filter file, an index entry file and a segment abstract file, and efficient organization and access of index data are achieved. According to the method, a batch writing and parallel retrieval strategy is adopted, and a segment merging and garbage collection mechanism is matched, so that the index performance and the storage efficiency are ensured. The method has the beneficial effects that the query performance when the object storage is used as the database is remarkably improved, the storage overhead is reduced, meanwhile, the data consistency is ensured, and a key technical support is provided for realizing a database system based on the object storage.

Techniques related to searches of highly structured data are described. A body of data may be represented by an object-centric data model. For a search of the body of data, an indication of a particular search template to use may be received. The particular search template may specify one or more hierarchical object types that are within a scope of the search. The one or more hierarchical object types may be defined in the object-centric data model. The particular search template may specify at least one search field. A user interface may be generated based on the particular search template. The user interface may include the at least one search field.

A system for managing versioning of ontology data represented in multiple forms respectively in multiple databases and related methods are disclosed. The system is programmed to determine which changes to the ontology are to be incorporated into a new version of specific ontology data. In response to a write request to write a latest version of specific ontology data, the system is programmed to start representing the latest version in the multiple databases according to a first predetermined strategy. In response to a read request to read a latest version, the system is programmed to return a particular version from at least one of the multiple databases according to a second predetermined strategy.

The invention particularly relates to a method for realizing object storage fuzzy retrieval based on a large model. According to the method for realizing the fuzzy retrieval of the object storage based on the large model, each object in the object storage is summarized through the large model to form an object summarizing result; the object summary result is converted into a feature vector through an embedded vector technology, and the object name, the object summary result and the feature vector are cached; the query statement is converted into a feature vector, neighbor indexing is carried out in a vector database, if the difference between a neighbor indexing result and the feature vector is smaller than a self-defined threshold value, it is considered that the search is hit, and a corresponding object name and an object summary result are returned. According to the method for realizing fuzzy retrieval of object storage based on the large model, the storage and maintenance cost is reduced, the application scene of object storage is expanded, the usability of the system and the user experience are improved, the universality is high, and the method can be suitable for all object storage systems.

The present disclosure provides a data processing method and related apparatus, the method includes: obtaining object information of a data object, where the object information comprises a basic attribute of the data object; and storing the object information in a data structure, where the data structure includes a first node, and the basic attribute of the data object is stored in the first node, where the first node is connectable to at least one second node, where each of the at least one second node is used for storing an additional attribute of the data object.

The invention discloses a human-post matching information base construction method, a human-post matching method and a human-post matching device. The method comprises the steps of obtaining job hunting behavior information and recruitment behavior information, and constructing a heterogeneous graph; according to the heterogeneous graph and a target vector generation model, first vector information of job seeker nodes and second vector information of position nodes in the heterogeneous graph are determined, and the target vector generation model is obtained through training based on a training sample set generated by the heterogeneous graph; the first vector information is stored in a feature database and a job application information retrieval library of a person and post matching information library, the second vector information is stored in a feature database and a position information retrieval library of the person and post matching information library, and the person and post matching information library is used for providing vector information of associated nodes of user behavior information; and generating a matching result of the access user based on the vector information of the associated node. By utilizing the embodiment of the invention, the matching efficiency between the position and the resume can be improved, and the matching accuracy between the position and the resume can be improved.

Techniques are disclosed for storing and accessing data in an information model. In some embodiments, data is stored in the information model using assets, components, and relationships, or using any other suitable transformation of the data. Each asset is a container for components. Each component stores data according to a schema that defines the organization of data in the component. Assets and components can be related to other assets and / or other components. A file can be imported into the information model by extracting data from the file, creating assets and components in the information model based on the extracted data, and wiring together the created assets and components. In addition or alternatively, an application can invoke an API to write data to the information model. An application can also invoke the API to query the information model, such as to read data from the information model.

The invention discloses a database object manager and a management method, the manager realizes operation on a database object through interface design, and the manager comprises a database object creating module for creating and modifying the database object, the database object comprises one or more of a library, a mode, a table, an index, a partition, a constraint, a view, a sequence value, a storage process, a function, a packet, a user and a role; the database object management module is used for checking and modifying a database object, operating data, editing SQL (Structured Query Language), checking a table structure, and importing and exporting the table structure and table data; and the database object maintenance module is used for realizing table statistical analysis, index reconstruction, view compilation and modification, trigger compilation and modification, storage process and function compilation of database objects. Through the interface operation, the user can better use the database.

A device, system and method for distributing and locally persisting provider objects is provided. A first device provides, in a provider object stream, first indications of first provider objects, generated and locally persisted in association with a first region, to a second device associated with a second region. The first device receives, in the stream, from the second device, second indications of second provider objects generated locally persisted in association with the second region, the second indications including respective identifiers identifying the second region. The first device: discards given second provider objects, indicated by the second indications, which do not meet a local persistence condition; and locally persists other second provider objects, as indicated by the second indications, which meet the local persistence condition, the other second provider objects locally persisted in association with the first region.

A method for operating a graph database includes receiving, by a computer system, a query for a particular graph database, the query identifying a plurality of vertices in the particular graph database. The method further includes performing, by the computer system, a hash operation on two or more vertices of the plurality of vertices to generate respective hash values, and partitioning the query into a plurality of sub-queries using the respective hash values, each sub-query corresponding to a subset of the plurality of vertices. The method also includes sending, by the computer system, a sub-query of the plurality of sub-queries to a plurality of database repositories of the particular graph database.

A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.

A method of implementing object tagging framework starts with the processor receiving a tag creation command including a tag name. In response to the tag creation command, the processor creates a current tag. The processor then receives an association command, the tag name and a source object identifier. The processor determines a source object associated with the source object identifier. The source object includes a tag value. The processor associates the current tag with the source object. The processor receives a replication command including the source object and a target object. The processor causes replication of the source object to the target object that comprises replicating the current tag with the tag name and the tag value in the source object to the target object. Other embodiments are also described herein.

The present disclosure relates to computer-implemented methods, software, and systems for automatic database configuration. One example method includes receiving, at a database associated with a data warehouse application, a request to generate a configuration to acquire data objects based on executing calls to corresponding programming interfaces provided by a source application, wherein the programming interfaces are identified in the received instructions and are associated with acquiring the data objects associated with metadata entities defined at the database; in response to the received instructions, configuring the database to automatically execute one or more calls to acquire relevant data for a metadata entity defined at the database, wherein the metadata entity is associated with a section of a first programming interface; and invoking the first programming interface at the source application, wherein invoking the first programming interface results in acquiring the relevant data.