37 results about "Conjunctive query" patented technology

The invention provides a multi-modal data joint query analysis method and system supporting natural language interaction, and relates to the technical field of data query analysis. Historical operation data, audio data and text data of a user on an intelligent search platform supporting natural language interaction are collected; modeling the historical operation data to obtain a user preference vector, performing voice recognition and text standardization processing on the audio data to obtain standard query data, and integrating the standard query data and the text data into context information; an attention mechanism-based algorithm is used for semantic understanding and intention recognition to obtain an intention feature vector, and the intention feature vector is fused with a user preference vector to obtain a classification result; and finally, based on the result, querying in a preset multi-modal database through a collaborative filtering algorithm to obtain a joint query result, so that personalized accurate query of the multi-modal data under natural language interaction can be realized, and the result fits the intention and long-term preference of the user.

The invention provides an industry knowledge base dynamic construction method and system based on multi-source heterogeneous data, and relates to the technical field of data processing.The method comprises the steps that target industry multi-source heterogeneous data, user historical behavior data, a natural language question text and a processing text are collected to generate a query data stream; mapping the user question into a query semantic vector, converting the user interaction behavior into a behavior feature vector, and generating a joint query vector; industry knowledge units are automatically extracted from multi-source heterogeneous data and external knowledge sources, and a dynamic knowledge topological graph is constructed; establishing a dynamic knowledge routing table, taking the joint query vector as a routing request, matching a target knowledge node, recording a query path and caching an association rule; and counting and querying path node transition probability to identify a hotspot path, mining a deep association rule, and reversely adjusting a knowledge topological graph structure, so that user intentions can be accurately matched, an industry knowledge base can be dynamically optimized, and knowledge retrieval and association efficiency can be improved.

The invention relates to the technical field of artificial intelligence and intelligent manufacturing, and discloses a multi-source heterogeneous data and large language driven process intelligent design system and method, and the system comprises a multi-modal data processing module which is used for achieving the structural information extraction of multi-source heterogeneous engineering data; the multi-source heterogeneous mixed database construction module is used for realizing storage of multi-source process knowledge and joint query of a database; the large model construction and optimization module is used for constructing a large model to realize user intention understanding, process knowledge fusion and process scheme generation and optimization; the intelligent processing technology collaborative design system provides a multi-mode interaction interface for a user to realize full-process automatic technology design from demand input to scheme output; according to the system and the method, the full-process intelligence from part information extraction, process knowledge retrieval, process scheme generation to simulation verification optimization is realized, and the system and the method can be widely applied to machining process design and optimization scenes in the fields of industrial mother machines, robots, high-end equipment manufacturing and the like.

Implementations relate to obtaining, from each agent of a plurality of agents, a respective agent query, wherein each respective agent query includes a respective natural language request for performance of a respective generative task; aggregating each respective agent query to form a joint query; causing the joint query to be processed using a generative model to generate responsive content; and broadcasting, to each agent of the plurality of agents, at least some of the responsive content generated using the generative model, wherein the responsive content is responsive to the joint query.

The application discloses a data query method and device, electronic equipment and computer readable medium, relates to the technical field of computers, and a specific embodiment includes: receiving a data query request, obtaining a corresponding instruction type identifier and data timeliness identifier; positioning a target database table according to the instruction type identifier and the data timeliness identifier, and then determining the number of the target database table; in response to the number being multiple, obtaining query mode information corresponding to the instruction type identifier, determining a query statement assembly order based on the query mode information, assembling the query statement and the target database table based on the query statement assembly order, and generating a joint query statement; executing the joint query statement, and then outputting data obtained by querying. Thus, when data is queried, the range of the query is narrowed, and the data query is more accurate and faster.

Embodiments of the present specification provide a data query method, system and device, wherein the data query method comprises: receiving a data query request; performing structural analysis on at least one joint query statement to determine a plurality of leaf query statements; from the plurality of leaf query statements, screening a target leaf query statement and a target query result set of the target leaf query statement that meet a preset screening condition; determining whether each target query result in the target query result set hits a to-be-queried leaf query statement to obtain a determination result; and determining a target query result corresponding to the data query request according to a go-or-leave determination rule corresponding to the to-be-queried leaf query statement and the determination result. By using the target query result set to check whether the to-be-queried leaf query statement is hit, the target query result is obtained, and there is no need to calculate intermediate sub-joint query statements, thereby controlling the invalid performance and memory loss of a large number of query intermediate sub-joint query statements, and improving the efficiency of data query.

The invention discloses a spatial semantic enhanced real estate registration knowledge retrieval enhancement generation method, and belongs to the cross technical field of geographic information technology, natural language processing and retrieval enhancement generation. Extracting spatial geometry and topology constraint features, ownership business features and text semantic features, and generating a joint query representation in a unified vector space; and performing multi-level mixed retrieval in the real estate registration multi-mode knowledge base, fusing retrieval results to construct context enhanced representation, inputting the context enhanced representation into the large language model, generating a structured response, and completing output. According to the retrieval reasoning technology based on spatial semantic enhancement, an efficient, accurate and reliable intelligent processing scheme is provided for real estate registration service query, the service query quality and efficiency are remarkably improved, and good application and popularization value is achieved.

This application discloses a data query method, apparatus, storage medium, and electronic device, relating to the field of big data technology. The method includes: receiving a query task sent by a target object, wherein the query task is a task to query first data in M ​​databases; dividing the query task into N query subtasks through a scheduler, and sending each query subtask to each task executor; executing each query subtask through each task executor, and extracting N second data from the M databases based on M data connectors; and determining the first data based on the N second data. This application solves the problem in related technologies where data from different databases needs to be extracted to a data warehouse using ETL technology, and then a final joint query is performed in the data warehouse, resulting in poor performance of joint queries based on different databases.

The application provides a resource query method and device, electronic equipment and storage medium; the method comprises the following steps: acquiring a query statement, wherein the query statement is used for querying at least one type of resource on a container orchestration platform; a syntax tree structure corresponding to the query statement is constructed, wherein a node in the syntax tree structure is used for representing a clause corresponding to the query statement; the syntax tree structure is converted into at least one application programming interface request; resource data associated with the at least one type of resource is acquired based on the at least one application programming interface request; and aggregation is performed on the resource data to obtain a query result corresponding to the query statement. Through the application, a unified query interface can be provided to access different types of data sources, thereby realizing joint query across resource types, reducing the complexity of resource query, and reducing the use threshold without the need to learn multiple tools.

The present application belongs to the technical field of data retrieval, and particularly relates to a method for improving data retrieval speed, comprising the following steps: S1, generating a multi-table fuzzy query request; S2, building a business physical view service; S3, dimension reduction of the multi-table fuzzy query request, and single-table query of the business physical view; wherein the business physical view is classified into a single physical view for the same type of business function. The present application establishes a business physical view service, creates and updates the business physical view to be queried in real time, and performs full-text indexing on the business physical view, so as to provide single-physical-view fast fuzzy query for business query, make the fuzzy query not limited by left and right fuzzy queries, and greatly improve the query efficiency from tens of seconds or even hundreds of seconds to tens of milliseconds, thereby greatly improving the user experience, especially for multi-table joint query and multi-field simultaneous query, which more embodies the query advantage.

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

The invention relates to the technical field of application software patch management, and provides an application software patch dynamic dependency management method and system and computer equipment. The method comprises the following steps: based on an uploaded patch file, combining a patch content file type, extracting a patch content feature set, and carrying out encryption processing to generate a content fingerprint; querying a branch-content fingerprint database by taking the content fingerprint and the code branch identifier corresponding to the patch file as a joint query primary key; if the matching record exists, adding the unique identifier of the matched patch to the dependency path of the current patch, and constructing a dependency chain; if the matching record does not exist, writing the content fingerprint of the patch file and the newly generated code branch identifier into a branch-content fingerprint database; wherein the branch-content fingerprint database is constructed based on the content fingerprint and the code branch identifier corresponding to the patch file.

A client device receives one or more inputs for generating a data visualization from a data source. A device determines one or more requirements for generating a data visualization. A device sends a request to a network gateway communicatively connected to a client device and a plurality of data servers, and receives capabilities of each data server from the network gateway. The device determines, from the received capabilities, that a first data server of the plurality of data servers includes a first set of capabilities that meet requirements for generating the data visualization. A device sends one or more queries to a first data server via a network gateway and receives one or more data sets from a data source from the first data server. The device generates a data visualization according to the acquired data set and displays the data visualization.

This application provides a method and system for joint query analysis of multimodal data supporting natural language interaction, relating to the technical field of data query analysis. This application collects historical operation data, audio data, and text data from an intelligent search platform supporting natural language interaction; then models the historical operation data to obtain a user preference vector; processes the audio data through speech recognition and text standardization to obtain standard query data, and integrates it with the text data to form contextual information; then uses an attention-based algorithm for semantic understanding and intent recognition to obtain an intent feature vector, and fuses it with the user preference vector to obtain a classification result; finally, based on this result, a collaborative filtering algorithm is used to query a pre-set multimodal database to obtain joint query results. This enables personalized and accurate querying of multimodal data under natural language interaction, ensuring that the results match user intent and long-term preferences.

The application discloses a kind of joint query method, device and equipment across graph database cluster and storage medium, the method includes: obtaining query statement by initiator graph database cluster, and generating execution plan according to query statement;Execution plan includes multiple serial sub-execution plans;Execution plan is sent to participant graph database cluster;Participant graph database cluster is at least one cluster in multiple graph database clusters;Initiator graph database cluster and participant graph database cluster execute corresponding query task according to execution plan, and participant graph database cluster returns query result to initiator graph database cluster.The embodiment of the present application effectively realizes the joint query of safe cross graph database cluster, while reducing the load required to be borne by network link, thereby improving the task query, calculation efficiency of cross graph database cluster.

The application relates to a mass multi-element data intelligent collection system and a collection method, wherein the mass multi-element data intelligent collection system comprises a collection extraction module, a collection storage module, a collection selection module and a collection query module. In view of the characteristics of multi-element data query request elements in a large-scale user environment, such as high concurrency of query requests, large storage data volume of multi-element data of users and the like, the mass multi-element data intelligent collection system can meet the key problems of rapid response to online concurrent requests of large-scale users and rapid multi-element search and query of mass multi-element data. In the storage stage, the mass multi-element data intelligent collection system extracts according to different element characteristics of invoices, stores into a collection information table after collection and classification, and in the query stage, originally required multi-element joint query is simplified into once element identification value calculation and twice single-element query, so that all electronic invoice information meeting the query condition can be quickly obtained, and the query time is greatly optimized.

The present application relates to network asset positioning technical field, specifically to a kind of risk IP automatic association region, unit positioning method, comprising the following steps, construct large enterprise hierarchical network asset architecture library, and establish the mapping relationship between security monitoring area and network equipment;After capturing network security threat alarm log, risk IP address is extracted and its network attribute is judged;For the risk IP of intranet attribute, based on alarm source equipment, the initial monitoring area is positioned, and recursive association retrieval is executed in architecture library from specific asset to network segment range, from the region of this level to the unit of upper level;For the risk IP of extranet attribute, the joint query of external record information and geographical position is executed.In the present application, by setting security device monitoring area and tree organization architecture association mechanism, the responsibility subject accurate positioning in cross-region IP address multiplexing and non-standard network planning scene is realized, and the hysteresis problem of artificial level-by-level checking alarm information is solved.

The invention discloses an urban space analysis method and system for multi-agent collaborative retrieval enhanced generation. The method comprises the steps that firstly, multi-source heterogeneous urban space ground feature data is subjected to normalization processing, semantic-space double indexes are constructed, and after a user puts forward task requirements through a natural language, task analysis is conducted through a multi-mode large language model, and data autonomous exploration is conducted through the semantic-space double indexes; after task analysis and data autonomous exploration are completed, multi-agent collaborative spatial semantic reasoning and analysis are carried out based on the reflection enhanced task graph; by constructing an intelligent compiling mechanism of geographic semantics and visual expression, visual conversion is automatically carried out on a structured conclusion obtained by multi-agent collaborative reasoning and spatial data. Through a five-layer collaborative architecture of task analysis, data retrieval, spatial reasoning, knowledge generation and visual closed loop, efficient joint query and complete analysis report output of city-level heterogeneous data under the drive of a natural language are realized.

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

The application provides a data query method and device, equipment and medium. The method comprises the following steps: based on a plurality of business data to be queried, a multi-path search balanced lookup tree is constructed according to at least one relational attribute, efficient attribute range query can be realized, the adaptability and query efficiency in different business scenarios are improved, the multi-path search balanced lookup tree can realize dynamic data updating, and the maintenance effect of data query is improved; for each node of the multi-path search balanced lookup tree, a vector index mode used by the node is determined based on the selection degree of the node, the configuration of vector index resources is effectively improved by dynamically constructing the vector index mode, memory waste or performance bottleneck problems caused by uniform vector index are avoided, and the accuracy of data query is improved; through the combined query of the multi-path search balanced lookup tree and the vector index, the performance of data query is improved.

This application relates to the fields of smart livestock farming and agricultural IoT technology, and discloses an intelligent monitoring system for animal diseases in livestock farms based on multi-source information fusion, including sensing device terminals, edge computing nodes, and a management and control server. The edge computing nodes extract multi-source vital sign signal features and output structured parameters to a distributed time-series database for storage. The management and control server has a built-in graph database engine and a system-in-memory routing module. The graph database engine uses directed edges containing time boundary parameters to transform the pathological evolution logic into dynamic time window retrieval constraints, which are then sent to the underlying time-series database for cascading query pushdown. The system-in-memory routing module constructs a high-risk index based on the identifiers of confirmed diseased animals, adding basic data record rows to bypass the conventional baseline scanning path and directly route to the graph database engine to trigger comparison. This invention improves the efficiency of cross-modal joint queries and reduces the amount of underlying data scanning and system processing latency.

The application provides a keyword library and vector-based hybrid retrieval knowledge base construction system and method; the system comprises a facade module, a timing module, a knowledge base creation module, a knowledge query module, a keyword module and a vector module; the method comprises the following sub-steps: S1, creating a knowledge base and cutting uploaded knowledge documents into text blocks; S2, creating a keyword library and saving obtained keywords in the keyword library; S3, updating keywords of the knowledge documents by using the content in the keyword library; S4, hybrid keyword and vector query; the method reduces the need for data uploading by localizing keyword and vector calculation, thereby effectively reducing the risk of data leakage and enhancing the applicability of the system in commercial products; by combining keyword retrieval and vector retrieval technologies and by keyword and vector joint query, the accuracy and recall rate of knowledge retrieval are effectively improved.

A federated query engine system and method for multiple datasets is enhanced with privacy preserving features. It may, for example, limit the movement of data from one or more of the datasets being accessed. It may use cryptographic long-term keys, enabling fuzzy table joins that do not require a comparison of the plaintext column values. The query plan may leverage the particular infrastructure of the storage system that houses each of the datasets. The query engine receives a standard SQL query, translates the query into a logical plan for performing the query across the multiple datasets, converts the logical plan into physical plans that are specific to the implementational architecture of the multiple datasets, and sends these physical plans to SQL workers located near the data warehouses housing each dataset.

The embodiment of the invention provides a two-hand-hinged object attitude estimation method and related equipment, and belongs to the technical field of computer vision. The method comprises the following steps: extracting features of both hands and an object from an input image and coding the features into joint features; predicting and extracting left-hand and right-hand position queries representing a two-hand area from the global features; interacting the two-hand position query to generate a two-hand relative position query representing the two-hand relative position relationship, and combining the two-hand relative position query with the hand parameter query and the object parameter query obtained by mapping into a joint query; utilizing an attention shielding mechanism to enable the joint query to interact with the joint features, and matching most relevant feature information for various queries; and finally, the parameters of the two hands, the parameters of the object and the hinged angle correction are added to obtain a final hinged angle, and a three-dimensional grid of the two hands and the hinged object is output. Through explicit modeling of correlation between the relative positions of the two hands and the hinged state of the object, the accuracy and rationality of attitude estimation are remarkably improved.

The invention provides a data query method and device, equipment and a medium, and the method comprises the steps: constructing a multi-path search balance search tree according to at least one relational attribute based on a plurality of pieces of to-be-queried business data, can achieve efficient attribute range query, improves the adaptability and query efficiency in different business scenes, and improves the user experience. The multi-path search balance search tree can realize dynamic update of data, so that the maintenance effect of data query can be improved; for each node of the multi-path search balance search tree, a vector index mode used for the node is determined based on the selection degree of the node, by dynamically constructing the vector index mode, the configuration of vector index resources is effectively improved, the problem of memory waste or performance bottleneck caused by uniform vector indexes is avoided, and the data query accuracy is favorably improved; and through the joint query combining the multi-path search balance search tree and the vector index, the data query performance can be improved.

The invention discloses a privacy-protecting method and device for jointly querying the shortest path distance by multiple parties. The first party determines a query node pair containing a source point and an end point, the source point is located in a sub-graph of the first party, and the sub-graph is connected with a sub-graph of the second party through edges between respective boundary points. And each party executes first data interaction based on secret sharing based on the edge weight in the respective held boundary diagram, so that each party obtains the data fragment of the first shortest path distance from the source point to each boundary point. Wherein the boundary graph of any party takes the boundary points in the sub-graph held by the party as nodes, and the shortest path distance between the boundary points in the sub-graph held by the party is taken as an edge weight. And the first party and the second party execute second data interaction based on privacy calculation based on the data fragments of the first shortest path distance held by the first party and the data fragments of the second shortest path distance from each boundary point to the end point, so that the first party obtains a global shortest path distance from the source point to the end point.

This invention discloses a real-time call retrieval method and system based on historical call memory. The method includes: acquiring historical call data of a target customer, extracting call text, performing semantic analysis on the call text to obtain key information corresponding to billing communication; constructing call memory units and multi-type call event indexes based on the key information to store the target customer's call memory; parsing the current-round semantics of the target customer's real-time call, constructing joint query conditions based on the current-round semantics, and outputting the call memory retrieval result based on the joint query conditions; and outputting the call response result based on a preset memory injection mechanism, according to the retrieval result and a dialogue generation model. Therefore, this invention can achieve structured accumulation, accurate retrieval, and controlled injection of key information from historical calls with low response latency, improving the continuity, accuracy, and compliance of billing service communication.

The invention discloses a database table definition statement generation method, device and equipment and a storage medium, and relates to the technical field of database management.The database table definition statement generation method comprises the steps that on the basis of an input table name list, a single SQL query statement is constructed to jointly query a PostgreSQL system table so as to obtain metadata of all specified tables in batches; based on the metadata, filling contents according to a sequence of a table structure, column definition, constraint, an index, a trigger and a partition rule so as to generate DDL (Disk Definition Language) statements in batches; and carrying out topological sorting according to the dependency relationship of the specified table and then outputting the DDL. According to the method and the device, the metadata is pre-loaded through single system table joint query, so that efficient processing of multi-table batch DDL generation is realized.

The invention provides a capacity-hidden joint query dynamic searchable encryption method, and belongs to the technical field of searchable encryption. According to the method, a new index structure is constructed based on an extensible bitmap, a homomorphic addition symmetric encryption algorithm is used for transforming the bitmap of each keyword into an'encryption and homomorphic accumulation 'index structure, and only one corresponding encrypted bitmap index is maintained for each keyword; a new index structure is a fixed-length encrypted bitmap, a server can only observe the length of the bitmap and the query round, and the number of real hit documents and the intersection scale are difficult to recover, so that the query result capacity hiding is realized while the joint query is supported; in the updating process, the client encrypts the increment bitmap through a one-time secret key, the server only executes modular addition operation on an existing ciphertext so that addition and deletion can be completed in a ciphertext domain, all rounds of secret keys are independent, the search state evolves along with counting, and therefore associated leakage of updating and querying is weakened.

The application discloses an AST-based complex SQL query dynamic rewriting method and server, relates to the field of data rewriting, and comprises the following steps: in response to receiving a target database type, parsing an original SQL query statement into an AST; initializing an SQL processor; recursively traversing a selection statement structure of a main query, and recursively traversing a nested subquery structure in the selection statement structure; recursively traversing each selection statement structure in a joint query; and recursively traversing a condition expression or a nested selection statement structure in an update statement, a delete statement and an insert statement; converting the rewritten AST into a dynamically rewritten SQL query statement; and returning the dynamically rewritten SQL query statement, and rewriting SQL expressions and SQL statement structures in the AST according to preset dynamic modification logic. The application can effectively solve the technical problem that a traditional SQL enhancement or modification mode cannot process a complex nested structure.