18 results about "Indexed search" patented technology

An embodiment may provide a method of searching interactive data through a semantic index, the method including acquiring interactive data consisting of at least one message; generating a semantic index by converting the message into a sentence structure having a single meaning, wherein the sentence structure is the same for all messages; acquiring a query for a user to search for interactive data; obtaining similarity between the semantic index and the query; returning interactive data corresponding to the query based on the similarity; and providing the user with the interactive data corresponding to the query.

The invention provides a data processing method which can be applied to the technical field of big data and the technical field of financial science and technology. The data processing method comprises the steps that in response to a received query statement for a database, an index search tree corresponding to the database is obtained, the index search tree is pre-constructed based on a data table field of the database and a preset action space, and all nodes of the index search tree represent corresponding index configurations; the index configuration at least comprises a single-column index or a multi-column index; a target index combination is obtained based on the index search tree, the target index combination is obtained by searching the index search tree in advance based on a search algorithm and calculating node revenue, the node revenue is determined based on a cost estimation model, and a target execution plan of the query statement is determined based on the query statement and the target index combination. The invention further provides a data processing device, equipment, a medium and a program product.

Methods for providing an output (10), in particular for monitoring and / or controlling a production or system, comprising: capturing (S10) substance data, wherein the substance data describe a content, organization and / or metadata of information (1); retrieving (S20) graph data, wherein the graph data represent a document knowledge graph (3) based on the retrieved substance data; retrieving (S30) search index data, wherein the search index data represent a vector and / or full text and are set up for index searching based on the retrieved substance data; retrieving (S40) IKG data based on the information (1), wherein the IKG data are set up during retrieval to be represented in an information knowledge graph (2) and wherein the IKG data represent entities and relationships of knowledge based on the information (1) based on the retrieved substance data;and providing an output (10), wherein the output (10) is based on the determined substance data, the determined graph data, the determined search index data and / or the determined IKG data.

An embodiment may provide a method of searching interactive data through a semantic index, the method including acquiring interactive data consisting of at least one message; generating a semantic index by converting the message into a sentence structure having a single meaning, wherein the sentence structure is the same for all messages; acquiring a query for a user to search for interactive data; obtaining similarity between the semantic index and the query; returning interactive data corresponding to the query based on the similarity; and providing the user with the interactive data corresponding to the query.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Receiving a query. Detecting a failure of the first microservice-based platform instance. Redirecting the query to the second microservice-based platform instance.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Receiving a query. Detecting a failure of the first microservice-based platform instance. Redirecting the query to the second microservice-based platform instance.

We provide a business data management device, a business data management system, and a business data management program that enable efficient reproduction and understanding of business data, regardless of language differences. [Solution] The business management server 10 includes a meeting data generation processing unit 19 that generates meeting data, a meeting data storage processing unit 40, a search index generation processing unit 50 that generates a search index including meeting summary data and time data, a search index storage unit 74 that stores the search index, a translated audio data generation processing unit 55, a meeting data search unit 70 that searches for meeting data using the search index, a meeting data list generation processing unit 60 that generates a meeting data list 61, a list presentation means that presents the meeting data list 61, and an association processing means, and the stored meeting data is associated with document data or translated audio data.

An index creation method, a computing device, and a storage medium are provided. The method comprises: dividing storage records in logic sub-storage areas on the basis of the storage records and the logic sub-storage areas in a logic storage area divided in a physical storage area, the storage records comprising storage data; determining, from among multiple preset index formats according to the divided storage records, an index format matched with a record attribute; and creating a corresponding sub-index according to the determined index format to search for storage records according to the sub-index, the index format being able to cause the generated corresponding sub-index to occupy memory space smaller than a preset capacity. The index format matched with the record attribute is determined from among the multiple preset index formats, the index format can cause the generated corresponding sub-index to occupy memory space smaller than the preset capacity.

A method for detecting Arabic phishing emails includes connecting a log management solution to an email management solution that includes a spam repository and one or more emails. The spam repository includes one or more Indicators of Compromise (IoCs) that is digital information associated with a cyberattack. An IoC index of the log management solution is populated with the IoCs. The log management solution searches the emails using the IoC index and flags one or more potential phishing emails when an email matches an IoC in the IoC index. The log management solution assigns an authenticity score to each of the potential phishing emails and generates a potential phishing email report containing the potential phishing emails and the authenticity score assigned to each of the potential phishing emails. Based on the potential phishing email report, an assigned user performs one or more remediation actions.

This invention discloses a format-preserving encrypted fuzzy search method and system. The method involves converting the original data into Chinese pinyin and performing word segmentation to generate keywords; encrypting the keywords using a Feistel network format-preserving encryption algorithm based on AES or SM4, generating encrypted word segments for storage; performing n-gram segmentation on the encrypted words, generating hash values ​​using SHA256 or SM3 and converting them into ±1 vectors, superimposing binarization to generate a digest, and constructing a true digest index; injecting random noise into the digest to form a complete digest index; generating a query digest during the search, calculating the Hamming distance between the query digest and the index digest, and selecting records with a distance less than or equal to a threshold as candidate results, decrypting them, and outputting the plaintext. The system also includes key management, user management, and data import / export modules. This invention supports fuzzy search in both Chinese and English, maintains the original data format, protects index privacy, effectively resists frequency analysis attacks, and combines high security with high search efficiency.

A method of index searching of consent-protected private healthcare data includes receiving, from a computing device, a search request for access to consent-protected healthcare data stored at a consent-indexed healthcare data store. The request includes one or more consent parameters asserted for a user of the computing device. The method also includes identifying one or more asserted access consent scenarios for accessing the requested consent-protected healthcare data based on the one or more consent parameters, each asserted access consent scenario of the one or more asserted access consent scenarios representing a respective subset of the one or more consent parameters. The method further includes defining a search filter based on the one or more asserted access consent scenarios and determining, via an indexed search of the data store using the search filter, a subset of the requested data. The method includes providing the subset of data to the computing device.

The invention provides an expression management method and device, a medium, electronic equipment and a program product. The method comprises the following steps: grouping a plurality of expressions in a local expression library of an application program, determining a classification label of each group according to a grouping result, for each expression in each group, obtaining a category to which an object with the maximum pixel proportion in the expressions belongs, and determining a subject category label of the expressions; extracting character information in the expression, and determining a character label according to the character information; and determining the classification label, the subject category label and the text label as indexes of the expression, and through the management mode, searching the corresponding expression according to the indexes, thereby improving the efficiency of searching the expression.

The invention discloses a network planning method based on resource dynamic data, and the method comprises the steps: collecting the dynamic data of a cloud network capability resource center in real time through an interface, and creating a routing ledger; performing security analysis on the routes in the route ledger, determining the risk levels of the routes, and removing the routes with substandard security; generating a recommended route based on index search, and outputting a safe routing scheme; and displaying the routing scheme based on the network security topological graph. The method can meet the core requirements of operators, is suitable for planning and management of various communication networks, can remarkably improve the reliability and service quality of the network especially in a large-scale and complex network environment, and has a wide application prospect.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Pre-calculating, via the microservices, the index searching, the audit tracking, the object history tracking, and the entity matching. Retaining the second EID as a legacy EID of the merged data item distinctly in association with a portion of the merged data item obtained from the second data item. Receiving, subsequent to the pre-calculating, a query. Processing the query simultaneously by the first microservice-based platform instance and the second microservice-based platform instance, thereby generating a first query response by the first microservice-based platform instance and a second query response by the second microservice-based platform instance. Generating an answer to the query based on which of the first query response and the second query are received first.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Pre-calculating, via the microservices, the index searching, the audit tracking, the object history tracking, and the entity matching. Retaining the second EID as a legacy EID of the merged data item distinctly in association with a portion of the merged data item obtained from the second data item. Receiving, subsequent to the pre-calculating, a query. Processing the query simultaneously by the first microservice-based platform instance and the second microservice-based platform instance, thereby generating a first query response by the first microservice-based platform instance and a second query response by the second microservice-based platform instance. Generating an answer to the query based on which of the first query response and the second query are received first.

This invention discloses a multi-strategy retrieval intelligent question-answering system based on knowledge graphs. Through the collaboration of question parsing, knowledge retrieval, answer generation, and evaluation modules, intelligent question answering is achieved: The system receives user questions, parses the question intent using a large language model, and extracts entities, relation types, and query types; it then performs a multi-strategy progressive retrieval based on a graph database knowledge graph, sequentially performing batch exact matching of entities, batch querying of relations, full-text index search, fuzzy matching, and source file keyword search; it scores and filters the retrieval results based on relevance; it generates answers based on the filtered knowledge using a large language model and calculates the confidence level of the answers by integrating multiple factors; and it implements result caching. This invention, through the synergy of multi-strategy progressive retrieval and intelligent filtering, effectively solves the problems of inaccurate retrieval, poor answer quality, and slow response speed in traditional question-answering systems, significantly improving the accuracy, recall, and response speed of question answering.

The invention discloses a data searching and classifying method based on characteristic value index, which comprises the following steps: acquiring a set through a regular semantic hybrid analyzer based on original data, the set comprising a characteristic name and a characteristic value; obtaining a classification vector through mapping based on the set; based on the classification vector, obtaining classification index data through multi-dimensional reverse order arrangement and two-stage index search of a bitmap; obtaining a query data subset through query rewriting, feature sorting and bitmap intersection based on a user query condition; on the basis of the query data subset, obtaining the updated query data subset through sequential scanning and sorting; and obtaining the updated classified index data through a bitmap merging strategy based on the query data subset and the newly added data.

A search system facilitates efficient and fast near neighbor search given item vector representations of items, regardless of item type or corpus size. To index an item, the search system expands an item vector for the item to generate an expanded item vector and selects elements of the expanded item vector. The item is index by storing an identifier of the item in posting lists of an index corresponding to the position of each selected element in the expanded item vector. When a query is received, a query vector for the item is expanded to generate an expanded query vector, and elements of the expanded query vector are selected. Candidate items are identified based on posting lists corresponding to the position of each selected element in the expand query vector. The candidate items may be ranked, and a result set is returned as a response to the query.