42 results about "Indexed search" patented technology

A method and system searches documents that contain an ordered pair of keywords using search indices stored in multiple storage locations. In one embodiment, a server receives the search request that includes an ordered pair of keywords. The server hashes each keyword with multiple hash functions to obtain a hash vector pair, which are used to index a chain of search indices. Hash values in the hash vector pair are used to locate the chain of search indices that are stored across multiple storage locations. The last search index in the chain provides identifiers of documents containing the ordered pair of keywords, with a distance between the keywords in the documents below a predetermined limit. The documents can be retrieved from document repositories using the identifiers.

There is disclosed a method and system for presenting indexed search results from a social network, concurrently with customary search results returned by a search engine hosted on a website, to a user performing a search from a user interface of a user device using the search engine. The user is registered on the social network and has connections thereon. The method comprises: indexing data related to users registered on the social network to produce indexed data, the data obtained from the social network hosted on a website different from the website hosting the search engine; receiving a search query along with a user identifier; performing a search on the indexed data specific to the user's connections to obtain indexed search results specific to the user's connections on the social network; and returning to the user device the indexed search results for presentation on the user interface.

A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of indices for the knowledge map and its topics and subtopics is carried out for the subject component. If a match is found, then the subject component is taken as the existing topic. If no match is found, then the subject component is formatted as a new entry in the knowledge map. Topic-related information content is stored in the repository referenced to the formatted topic. A similar process can be carried out for formatting predicate component(s). In this manner, input items of information can be quickly and conveniently added to the knowledge information map.

The invention discloses a method supporting index creation in various modes. The method comprises the following concrete realization processes of configuring a unified index model, and deploying and installing a search engine server cluster; configuring database and index mapping; configuring HBASE and index mapping; configuring a structured document import script; configuring a non-structured document import script; creating a message queue, and creating indexes through the message queue in real time; searching data transmitted from an engine cluster pair, carrying out word segmentation and filtering treatment, and storing processing results in HDFS; and carrying out relevant retrieval according to input keywords. Compared with the prior art, the method supporting index creation in various modes has the advantages that the problem of unified retrieval of data from different sources and in different formats can be solved, the real-time data indexing capability is improved, the collecting and integrating capability on mass data is enhanced, the retrieval efficiency on the mass data is greatly improved, and the practicability is high.

The invention relates to an information search method and device based on a cloud technology, equipment and a storage medium, and relates to the technical field of information search. The method comprises the following steps of: receiving a target search request, forwarding the target search request to a corresponding target search engine; and according to the target index, instructing a target search engine to search the input information, and outputting a search result obtained by the target search engine, the target index being an index established according to the target context information, the search result being a choice content of the corresponding target index in the target data source, and the target data source being an unstructured cloud data source. As the target data source is the data source synchronous with the cloud, when the data source in the cloud database changes, the target search engine can synchronize the data source, automatic deployment of the target search engine is achieved when the cloud data source changes, and the retrieval efficiency and the result matching degree are improved by means of the target index.

An embodiment of the invention provides a device for searching indexes for sensor tag data. The can include a memory that has sensor tag data stored as a time series; an interface that is configured to receive tag names and time segment information for searching sensor tag data; and a processor that is configured to determine partitions of the memory having the sensor tag data stored therein based on the time segment information and configured to determine corresponding indexes and leaf nodes for the determined partitions based on the tag names and the time segment information. An embodiment of the invention can provide an optimized index structure for and a method of storing and searching time series sensor tag data with which most query patterns relating to time series sensor tag data can be satisfied.

The present document describes a method for presenting modified information obtained from the internet on an application on a mobile device. The mobile device is set to communicate with the internet through a proxy server. A user of the mobile device is registered on a social network from which indexed search content specific to the user's connections on the social network are obtained. The method comprises: modifying, based on the indexed search content specific to the user's connections, an output for the application from an internet server to produce a modified output for the application; and sending the modified output for the application to the mobile device for presentation in the application on the mobile device.

The invention provides a word segmentation method supporting a large number of word banks, and a computer readable storage medium and a system. The method comprises the following steps: constructing adomain dictionary; constructing an offline word segmentation model based on a domain dictionary; for the original text to be subjected to word segmentation, performing word segmentation through an offline word segmentation model to obtain a first word segmentation result; carrying out to-be-searched word extraction on the original text to be subjected to word segmentation, then carrying out first-level index search and second-level index search in the domain dictionary based on the to-be-searched words, and finally screening second-level index results to extract candidate words; and recombining the candidate words and the first word segmentation result, constructing a directed graph of the original text based on a recombining result, and calculating an optimal word segmentation result based on a shortest path method. According to the method, the word segmentation result in the single field is combined with the big word search result, the directed graph is constructed based on the combination result, the problem of solving the optimal word segmentation scheme is converted into the problem of the optimal path to be quickly solved, and the method is very suitable for segmenting the big words.

The invention discloses a search system and method and a storage medium, and the system comprises: a search platform which is used for determining a target search statement and a target index according to a search statement inputted by a user; the search engine that is used for querying a data index library corresponding to the target index according to the search term corresponding to the targetsearch statement, determining a data category corresponding to the search statement and sending the data category to the search platform; and the data platform that is used for obtaining a query template determined by the search platform according to the data category, searching a database according to the query template and determining a query result corresponding to the search statement, and thedatabase comprises a data index library. The problem that in a traditional method, when searching is conducted through a search engine, all data in a data platform need to be stored in the search engine, and consequently resources are wasted is solved. During data query, the search engine only stores part of data, resources are saved, and when the search engine performs data synchronization withthe data platform, time is saved, the workload is reduced, and the working efficiency is improved.

The invention discloses a data dynamic processing method based on distributed storage. A system architecture comprises an edge data acquisition layer, a data analysis layer and an interaction layer. The method comprises the steps of 1, responding to a search request; 2, splitting the search request; 3, processing a search request; 4, generating a data request; 5, carrying out data primary search;6, forwarding data; 7, analyzing indexes; 8, a search analysis engine processing the data; 9, summarizing fragmentation search analysis results; and 10, visually displaying the interaction layer. A method for generating a data request according to a fragmentation rule, creating a data forwarding instance to realize dynamic forwarding of data from an edge collection node to an analysis node and dynamically loading an analysis index engine is introduced in a data processing process, the difficulty that dynamic search can be supported and the barrier of data capacity caused by central storage canbe eliminated is solved, and a reliable data processing method is provided for big data analysis.

The invention provides an address library indexing method, an address matching method and related equipment, and the address library indexing method comprises the steps of dividing an address library into a plurality of query fragments according to at least partial region information of each piece of address information in the address library; performing an address index generation step on each piece of address information in the address library, the address index generation step comprising: performing word segmentation on the address information to obtain a plurality of word segmentation results; combining a plurality of word segmentation results of the address information to obtain a first field; and taking the first field as an address index of the address information so as to search and obtain the address information according to the address index. According to the invention, in an address base of massive standard addresses, under the condition that the accuracy is ensured, the optimal matching address can be found as little as possible.

The invention provides a health data sample search method and system. The method comprises the steps of: building a health data sample index through multi-level clustering and high-dimensional featureindexing; and performing searching according to the constructed health data sample index, and displaying a health data sample closest to a to-be-searched health data sample in a database. Small-scalehigh-dimensional feature indexing is carried out on a large number of health data samples, the search efficiency is high, and the maintenance cost is low; and the pre-fixed search rule of the healthdata sample and the search rules of other possibilities are considered, so that the search limitation caused by data feature selection and search rule setting is reduced.

The invention relates to the technical field of data processing, provides a method and device for processing data in a knowledge base, computer equipment and a storage medium. When knowledge is inputinto the knowledge base each time, an inverted index structure table can be created on the basis of an SLOR technology; stock knowledge documents such as standard questions can be quickly asked; indexsearch is performed on data such as standard answers; searching knowledge documents related to the input knowledge, returning the knowledge documents having knowledge conflicts with the to-be-input knowledge data through a preset thresholding knowledge conflict interface according to a threshold value corresponding to the thresholding knowledge conflict interface, and inputting the to-be-input knowledge data when detecting that the knowledge conflicts are not completely matched. According to the scheme, knowledge conflicts generated in actual questions and answers are avoided while repeated import of similar knowledge data is avoided, and efficient knowledge questions and answers are supported.