184results about How to "Improve query efficiency" patented technology

The invention discloses a method for constructing a semantic data model for a material science field based on ontology. The method comprises the following steps of: designing the semantic data model for the material science field based on the ontology, and establishing a mapping rule between the data model and the ontology; based on the semantic data model, carrying out data semantic analysis and annotation based on the ontology aiming at structured data, semi-structured data and non-structured data, constructing a semantic visual model of field data to support the semantic integration and the efficient retrieval of massive heterogeneous data in the material science field; and based on an OWL-S (ontology web language for service) technique, describing, issuing and acquiring a relevant data service to support the higher-level service semantic synergy in the material science field. The method has the advantages that the semantic integration, the intelligent inquiry and the personalized service of the data in the material science field can be realized effectively.

The embodiment of the invention discloses a method and equipment for identifying repeated information. When the technical scheme adopted by the embodiment of the invention is used, released information is stored in an internal memory in form of feature codes; when a new information release request is received, the internal memory is searched for a corresponding feature code, and whether the information the information releaser requires to be released is the same as released information is determined by judging if repeated feature codes exist through comparison; and thus, under the condition of guarantying the repeated information identification accuracy, the database access flow load brought by searching the database for repeated information is reduced, the identification efficiency of repeated information is increased, and the repetition identification time in an information release process is reduced.

The invention discloses a decision tree generation method and equipment, and a decision tree-based message classification method and equipment. The decision tree generation method includes: transforming the rules in the original rule set into the range array of the decision tree; starting from the root node, cutting by combining multi-bit prefix and HiCuts algorithm until the number of rules in each node is less than the preset value. The message classification method based on the decision tree includes: extracting the source and destination IP addresses in the message, and converting them into a decision tree query array; starting from the root node to search, and searching in turn according to the cut dimension and the number of cuts, Until the leaf node is obtained; compare the message query array with the rules in the leaf node to obtain the rule matching the message. The present invention combines bit prefixes with HiCuts to generate a decision tree, reduces the depth of the decision tree, improves query efficiency and saves memory space when searching based on the decision tree.

The invention discloses a modeling method based on mass laser radar grid point cloud data, which comprises the following steps of: reading three-dimensional spatial point cloud data, and constructing a quadtree spatial index from top to bottom by using the three-dimensional spatial point cloud data simultaneously; filling index identification information of the three-dimensional spatial point cloud data in a non-leaf node of a spatial index tree from bottom to top; storing the constructed spatial index tree as a binary index file in a depth-first traversal mode; performing compressed storage on the three-dimensional spatial point cloud data to form a binary data file; designing a database in an object-oriented mode, and storing a spatial data object in a database object table; and callingdata in the database in an external memory for temporary storage, directly mapping the three-dimensional spatial point cloud data with specified identification information to an internal memory from the external memory in an internal memory mapping mode, and drawing by using a graphic processor.

The invention discloses a database query method based on a body and restricted natural language processing. The method is mainly used for solving the natural language query problem of a database. According to the method, a relation mode of the database is converted into the corresponding body, a special segmentation dictionary and keyword indexes are built according to records in the database, correlation of multiple keywords are found by means of semantic information in the body after the keywords are extracted from natural language query of a user, and finally the natural language query is converted into SQL query.

The invention discloses a database agency method and device. The database agency method includes the first step of establishing one connection pool for each database in multiple databases, the second step of receiving requests sent by database application clients, the third step of calling database connection in the connecting pools for database operation according to the received requests, and the fourth step of returning execution results to the database application clients. The third step of calling database connection in the connecting pools for database operation includes analyzing information in the requests to obtain database operating commands, determining the databases as operating objects according to the database operating commands and configuration information, wherein the configuration information includes database types of the multiple databases, calling the database connection in the connecting pools corresponding to the determined databases, applying the database connection to send the database operating commands to the determined databases, and receiving the execution results from the determined databases.

The invention discloses a storage method for centralized extensible fusion type multi-dimensional complex structure relational data. The storage method mainly comprises the following steps of: establishing a data transmission interface format; dynamically configuring attribute parameters; constructing a multi-dimensional data set relational database; constructing a relational data tuple model in the multi-dimensional data set relational database; constructing a relational data object model in the multi-dimensional data set relational database; constructing a dimension-extensible multi-dimensional data set relational database and constructing a multi-dimensional data set relational database of an extensible fusion type complex structure. The storage method disclosed by the invention is suitable for storing, analyzing and managing the large, medium and small-scale complex data of the enterprises, providing effective data with quality assurance for the user-oriented enterprise-level big data integration platforms, and providing an extensible and usable data storage and access technology, so that the storage and query performance problem of semi-structured, structured and non-structured data, small and big data, real-time data and history data.

The invention relates to a range query method and device based on Trie. The method comprises the following steps that: data preprocessing: coding all position points in a dataset into a character string of which the length is n, and sorting the position points in the dataset according to a character string suffix and a lexicographical order, and numbering ID (Identity); spatial index establishment: according to a sorted character string prefix, constructing a Trie spatial index structure; and range query: on the index structure, obtaining the position points in a query domain, filtering to obtain a candidate set, and verifying and returning all position points in the query range to the candidate set. By use of the method, on the basis of the character string prefix, parts of Trie index structure are constructed, query efficiency is high while space overhead is lowered, a geohas spatial index method is adopted to effectively support the query of any range.

The invention discloses a JSON format data query management system, aiming to improve the efficiency of querying JSON format data. In the system, a communication connection is established between an application client and an application server; a communication connection is established between the application server and a database server; the database server converts a data storage format of a data table in a database according to the JSON format required by the application client, so as to obtain a JSON format data view corresponding to the data table; the application client sends a JSON format data query request to the application server; the application server sends an SQL query statement to the database server; the database server acquires JSON format data displayed by the JSON format data view from the database according to the SQL query statement and sends the JSON format data to the application server; and the application client receives the JSON format data forwarded by the application server, and displays the JSON format data to a user.

The system includes multiple computers at client ends, a query server and a database. The query server includes a conditional setup module, an implementing query module and a module for outputting queried result. User through computer at client end sets up whether to carry out blur query or not and condition of carrying out blur query. Based on setting, implementing query module queries patent data accorded with blur condition from a database automatically, and queried result in graphic mode is output to computers at client ends. The method includes following procedures: selecting blur query, setting up query fields, inputting key words, generating query program through query program at background, executing blur query and generating query result. The said query result through computer at client end is outputted to user.

Embodiments of the present invention provide a vehicle information query method and apparatus. The method comprises: acquiring source data according to a first time interval increment, and establishing inverted index information according to word segmentation performed on the source data, so as to generate a memory index; acquiring source data according to a second time interval full amount, and establishing inverted index information according to word segmentation performed on the source data, so as to generate a file index; receiving a query request of a user, and acquiring a keyword from the query request; and separately querying the memory index and the file index according to the keyword, combining the source data queried in the memory index with the source data queried in the file index, and generating and returning a query result. By applying the vehicle information query method and apparatus provided by the present invention, the query efficiency can be improved, and the consistency and completeness of the query result can be ensured.

The present invention discloses a big data distributed real-time query method and system. The method mainly comprises that: a real-time query processing flow is defined as a query plan tree containing multiple execution phases, and query plan trees with low complexity are executed in parallel in independent threads; multiple operation threads are allocated to the query plan trees with high complexity, and multiple execution phases are processed in parallel in the form of distributed cloud server clusters; and a distributed real-time query system integrates query result sets of each server, returns final results, and uses the NOSQL to carry out cache optimization on data query operations. According to the method and system disclosed by the present invention, real-time query processing performance of the cloud server is taken full advantage of, the performance bottleneck of a single server is broken through, and redundant data access between the server and the HDFS data node is avoided, so that the efficiency of the distributed real-time query can be improved.

The invention provides a GPU (graphics processing unit)-based quick star catalogue retrieving method. The method comprises the following steps: (1) dividing a star catalogue into constellations to store by adopting a longitude and latitude partitioning method; (2) calculating the constellation covered by a round view field area of a star sensor, wherein spherical coordinates of a visual axis are calculated at first in the process, boundaries of longitude and latitude of the round view field are calculated, and the constellation covered by the round view field is searched in the partitioned star catalogue; (3) transmitting stars in the constellation into the global memory of the GPU to store in a star set mode, dividing a star operation thread grid of the GPU into a plurality of thread blocks, wherein each thread block is responsible for processing a star set, and each thread is responsible for retrieving a star; and (4) retrieving stars falling in the round view field by each thread, and retrieving stars falling in a charge coupled device (CCD) imaging plane in the round view field. By the method, the retrieving time in each view field is controlled in the millisecond level, so that the real time requirement of constellation generation and other simulation applications to star retrieving in a large view field and wide star magnitude domain can be fulfilled.

The invention discloses an efficient space keyword search method on a road network. Three methods including SNE, FITG and SG-Tree are put forward, wherein the performance of the SG-Tree method is the best, and the SG-Tree method is the main method of the road network space keyword search method. Specifically speaking, according to the SNE method, corresponding signatures are built for all edges of the road network, the Dijkstra algorithm is utilized, the network is traversed in a network expanding mode, and efficiency is low; according to the FITG method, a novel space index and a text inverted index are combined, the inquiring process is executed according to the pruning principle of text first and space second in serial, the efficiency is improved greatly, but defects still exist; thus, the space index and text index signature technology is utilized, a mixed index SG-Tree is put forward, corresponding signatures are built for all joints of a space index G-Tree, whether the joints comprise targets conforming to search or not can be efficiently detected, pruning can be carried out on two dimensions of space and text at the same time, and the search efficiency is greatly improved.

The embodiment of the invention provides a mobile multi-hop packet wireless network routing method based on an anycast manner. The method comprises the following steps: a source node sends a routing request packet containing a service value and an anycast group address of the source node; a forwarding node which receives the routing request packet searches a destination node in the anycast group of the forwarding node, if the destination node is not found, an anycast group which is closest to the anycast group of the forwarding node is determined by a function algorithm according to the anycast group address information, and the routing request packet is sent to the closest anycast group so as to continue searching the destination node in the closest anycast group; the steps are repeated until the destination node is found; and communication connection between the source node and the destination node is established. The method achieves rapid search of the destination node and enhances the resource retrieval and inquiry efficiency.

The present invention provides a management method for history and culture information data, including the steps as follows: collecting history and culture information data; classifying the history and culture information data; constructing a spatial database for storing history and culture basic spatial data through a first construction method; constructing a history and culture heritage database for storing history and culture heritage data through a second construction method; constructing a spatial data service for providing a service of the history and culture spatial data in a manner of special service through a third construction method; constructing a history and culture heritage data service for publishing the history and culture heritage data stored in the history and culture heritage database through a fourth construction method; constructing a visual engine through a fifth construction method; packaging the spatial data service, the history and culture heritage data service and the visual engine in a manner of pre-storing and packaging so as to generate a history and culture package, and publishing the history and culture package. The management method and a management system for history and culture information data, and a server provided by the invention have the advantages of high concurrent access supporting, high query efficiency, strong universality, and better performance.

An embodiment of the invention discloses a tree structure query method and device and relates to the technical field of electronic information. The tree structure query efficiency and user experience can be improved. The tree structure query method comprises the steps of receiving a keyword input by a user in a search box, matching the keyword with a tree node name stored in a database, displaying a tree node corresponding to the matched tree node name in a tree structure and triggering a node event corresponding to the tree node according to the tree node selection performed by the user. The tree structure query method and device is mainly applied to the data information query process.

The invention discloses a dynamic maintenance system for a large-scale semantic knowledge base. The dynamic maintenance system comprises a main server, a distributed data server and an ontology knowledge base, wherein the ontology knowledge base stores ontology which is described by using a web ontology language (OWL). The system is characterized by also comprising a global knowledge management system which is arranged on the main server and a local data management system which is arranged on the distributed data server of the system, wherein the global knowledge management system interacts with the local data management system through a knowledge bus controller by using a set of standard knowledge communication instructions. Compared with the prior art, the dynamic maintenance system forthe large-scale semantic knowledge base has the advantage that: the ontology of the large-scale semantic knowledge base is optimized, so that the storage scale is reduced, and inference efficiency and query efficiency are optimized.

An embodiment of the invention provides a browser-based shopping information query method and a browser device. The browser-based shopping information query method includes setting an information query component at a browser client, to be specific, the information query component comprises an information query expansion plug-in or an information query plug-in; through shopping website user information saved in the browser client, subjecting the information query component to querying shopping information of the user in the corresponding shopping websites; displaying the queried shopping information in the information query component. According to the arrangement, shopping information query steps are simplified for the user, shopping information query time is shortened for the user, and accordingly shopping information query efficiency is improved.

The invention provides a data query method and device, pertaining to the technical field of communication. The data query method comprises following steps: utilizing a multi-dimensional analysis OLAP assembly to preprocess data information according to a data query request inputted by a user in order to obtain an information report related to the data query request; and displaying the information report by displaying former N Top-N assemblies based on the information report. The data query method and device have following beneficial effects: the multi-dimensional analysis OLAP assembly is utilized for pre-processing data information so that rapid, consistent and interactive storage of data information can be achieved; data needed searching can be rapidly searched in a rapidly TOP-N manner based on multi-dimension and multi-measurement by displaying former N Top-N assemblies such that the user can rapidly search key indication data required for itself; as a result, searching efficiency is significantly increased; and the user can conveniently use the method.

The invention discloses a block chain storage system and method for time sequence type data. The method comprises the steps that of storing a block file is stored through a block storage module; carrying out block indexing and transaction indexing through an index storage module; and carrying out write-in processing, query processing, aggregation statistics processing and expiration clearing processing on the time series data through the time series data storage module. According to the invention, writing processing, query processing, aggregation statistics processing and expiration clearing processing can be carried out on the time series data through the time series data storage module, so that native support is provided for the time series data, the application range is widened, and efficient storage, reading and aggregation operations can be realized; besides, the block file is stored through the block storage module, block indexing and transaction indexing are carried out through the index storage module, source data do not need to be stored outside, the data query efficiency is improved, operation is easy, and the method can be widely applied to the technical field of block chains.

The embodiment of the invention discloses a querying and traversal method and a device for a virtual memory area, wherein, the method comprises the steps of determining and querying whether the virtual memory area vma corresponding to an address is in an adjacent range of a buffer vma which comprises at least one address range front adjacent to the vma and at least one address range rear adjacent to the vma of the buffer vma; if yes, querying the vma according to clues on nodes of a clue red black tree, wherein, the nodes are nodes to which the buffer vma corresponds, and the clues are pointers pointing the front driving nodes and back driving nodes of the nodes on the clue red black tree. The embodiment of the invention also discloses a traversal method of the virtual memory area, because the confirmations for the adjacent ranges of the buffer vma can be always satisfied, the hit rate for accessing a buffer is improved, and the realized whole vma traversal time complex rate is O(n), thereby improving the querying efficiency of the vma.

The invention discloses a data indexing method and device. The method comprises the following steps: judging whether a repeatedly stored index field exists in a database or not, judging whether the number of storage repetitions of the repeatedly stored index field is more than a preset numerical value or not, if YES, determining the index field in a preset storage time granularity and the preset storage time granularity as index information from a preset starting time, and caching the index information and a primary key value of a row corresponding to the index information in a memory; after completing caching, generating a batch index record for the index information and the primary key value of the row corresponding to the index information according to a preset data storage format, and writing the batch index record into the database for finding target data through the batch index record during query. In such a manner, for an index field with a large number of storage repetitions, mass data can be queried at one time by virtue of a generated batch index record, so that the query speed is increased, and the query efficiency is further improved.

The invention provides a method and a device for querying data. The method comprises the following steps: receiving a query message transmitted by a query side, wherein the query message carries query data, the query data is used for indicating one or more target data packets in target data, the target data is pre-divided into the data packets, and each of the data packets contains data of several attributes; querying data corresponding to the target data packets indicated by the query data and building a response message based on the queried data, wherein the response message contains at least one sub-message body, and the data corresponding to the attributes contained in the target data packets is respectively carried in the different sub-message bodies; transmitting the built response message to the query side. According to the method and the device provided by the invention, the query flexibility of the target data can be improved.

The invention provides a method and device for storing time series data in internal storage. The method comprises the steps that time series query information is obtained; based on the time series query information, corresponding time-bias information is determined, wherein the time-bias information comprises hour information, minute information and bias information; based on the time-bias information, leaf nodes on a corresponding time tree are searched for; the leaf nodes are searched for corresponding time series data based on the bias information. The method and device have the advantages that the method has low complexity and improves the query efficiency of the time series data; furthermore, the device occupies less internal storage and supports out-of-order writing.

The invention discloses a satellite network resource information storage method, discovery method and system, and the method comprises the following steps that a resource node collects resource information, carries out the classification statistics of the collected resource information, and generates and maintains a local resource information list which is used for describing the resource information of the resource node; the resource node uploads the local resource information list to the resource information index node; the resource index node receives the resource information list, extractsthe resource information in the resource information list, and generates a local resource information summary table; the resource index node sends the resource information summary table to the indexscheduling node, and the index scheduling node classifies the received resource information summary table according to resource categories to generate a resource index table; and the index schedulingnode issues the resource index table to the related resource index node. According to the invention, the query efficiency of the satellite network resource information is greatly improved.

The invention discloses a number segment and attribution encoding method, a number segment and attribution encoding system, an attribution query method and an attribution query system. The attribution query method includes extracting an operator number segment and an area number segment from a to-be-queried number, querying an operator number segment table and a general table of area number segment sand area numbers according to the extracted operator number segment and area number segment to obtain a corresponding area number, and querying a mapping table of attributions and the area numbers according to the obtained area number so as to obtain a corresponding attribution. By the number segment and attribution encoding method, the number segment and attribution encoding system, the attribution query method and the attribution query system, data volume of number segments and attributions can be reduced, attribution query efficiency is improved, and query time is shortened.

The invention discloses a visualization device state data query method, comprising the steps of drawing the time trend map and the alarming line of the state data, moving the scan line to search the data, displaying the device state trend and the alarming line in the time trend map, visually judging the data state based on the time trend map, moving the scan line to position the data and performing analysis and diagnosis. The method facilitates the data query based on the data state and improves the data query efficiency.

The invention discloses a method and a system for showing production data based on a net citizen region location, the method comprises the following steps: obtain production data with a region attribute of a requested production according to a net citizen request; obtain the region location of the net citizen; filter the production data with the region attribute according to the region location of the net citizen; show the filtered production data with the region attribute to the net citizen. Further more, statistic production data can be recommended to the net citizen according to the region location. The method and the system are corresponding. Production data can be accurately shown according to the region location of the net citizen by using the method and the system for showing production data based on net citizen region location, the querying efficiency of the net citizen is increased, and the page view is reduced, meanwhile, the matching ability of the production data and the net citizen requirement is further increased through recommending the statistic production data based on the region location, and the user experience is enhanced.

The invention relates to a method for inquiring distributed Top-k data in the wireless sensor network. The method comprises the following steps that firstly, an image G is utilized for expressing the wireless sensor network, wherein G=(V, E), a corresponding communication predominating subset C for the image G is set, and a predominated node set V' is obtained, and the communication predominating subset C comprises a plurality of predominating nodes; secondly, a BFS tree with an aggregation node v1 as a root is obtained by the adoption of the breadth-first search method for all predominating nodes included by the communication predominating subset C; thirdly, the predominating nodes send information to all predominated nodes so that the predominated nodes can send data held by the predominated nodes to the corresponding predominating nodes, and a data set S is formed by the data collected by the predominating nodes and dominated by the predominated nodes and the data held by the predominating nodes; fourthly, the aggregation node v1 inquires and obtains the needed Top-k data based on the data set S obtained by all predominating nodes. The steps are carried out conveniently, inquiring efficiency is high, and the application range is wide.