385 results about "Query analysis" patented technology

The present invention is a system, method, and program product that comprises a computer with a collection of documents to be searched. The documents contain free form (natural language) text. We define a set of labels called QA-Tokens, which function as abstractions of phrases or question-types. We define a pattern file, which consists of a number of pattern records, each of which has a question template, an associated question word pattern, and an associated set of QA-Tokens. We describe a query-analysis process which receives a query as input and matches it to one or more of the question templates, where a priority algorithm determines which match is used if there is more than one. The query-analysis process then replaces the associated question word pattern in the matching query with the associated set of QA-Tokens, and possibly some other words. This results in a processed query having some combination of original query tokens, new tokens from the pattern file, and QA-Tokens, possibly with weights. We describe a pattern-matching process that identifies patterns of text in the document collection and augments the location with corresponding QA-Tokens. We define a text index data structure which is an inverted list of the locations of all of the words in the document collection, together with the locations of all of the augmented QA-Tokens. A search process then matches the processed query against a window of a user-selected number of sentences that is slid across the document texts. A hit-list of top-scoring windows is returned to the user.

The invention relates to an accelerated data query method in a query system, which provides an accelerated data query method based on a cache of document system according to the features of unchanged saved historical data and frequent query of same data. The invention saves the historical query data and takes it as the cache data for query, so as to accelerate the query. Upon receiving the query quest from user, the system will first of all turn to the query analyzer; the principal function of the query analyzer is to analyze and plan the query condition; then, after passing through a document buffer, the system analyzes whether the data document in the result satisfies the present query need; if not, the query will be carried out in the database and the final result will be fed back to a data processor; then, the data processor will filter and sort the data according to the final query demand and finally feed back the result document to a super stratum application system. Therefore, without increasing the investment on hardware, this query method is able to greatly reduce the occupation of database and system resource, so as to improve the query speed.

The invention relates to a system for parallel execution of database queries over one or more Central Processing Units (CPUs), and one or more Multi Core Processor, (MCPs), the system comprises (a) a query analyzer for dividing the query to plurality of sub- queries, and for computing and assigning to each sub-query a target address of either a CPU of an MCP; (b) a query compiler for creating an Abstract Syntax Tree (AST) and OpenCL primitives only for those sub-queries that are targeted to an MCP, and for conveying both the remaining sub-queries, and the AST and the OpenCL code to a virtual machine, and (A) a Virtual Machine (VM) which comprises: a task bank, a buffers; a scheduler. The virtual machine combines said sub-query results by the CPUs and said primitive results by said MCPs to a final query result.

An automatic search index / meta data self-enhancement system includes a search system log analyzer, which periodically looks through the search system log, of a database, for search queries that did not bring satisfactory results; a search query analyzer which applies query enhancement techniques to the unsatisfactory queries by using glossary terms, synonyms, known typos, translated words, etc. to enhance the queries and categorize them; a relevant document finder which, based on the enhanced query terms and their categorization and subject, uncovers documents that were not previously found and links the documents to the query terms in the search index; and a search index / meta data enhancer, that enhances the meta / data of the documents based on the enhanced query terms in the search index, to reflect these new keywords to allow documents turned up by the enhanced query to be returned when similar future searches are entered by users.

An intelligent search and retrieval system and method is provided to allow an end-user effortless access yet most relevant, meaningful, up-to-date, and precise search results as quickly and efficiently as possible. The method may include providing a query profiler having a taxonomy database; receiving a query from a user; accessing the taxonomy database of the query profiler to identify a plurality of codes that are relevant to the query; augmenting the query using the codes to generate feedback information to the user for query refinement, the feedback information including a plurality of query terms associated with the query and to be selected by the user; presenting the feedback information to the user; receiving one of the query terms from the user; and identifying a source of the query term and presenting to the user. The system may include a query profiler having a taxonomy database to be accessed upon receiving a query from a user, which identifies a plurality of codes that are relevant to the query; means for augmenting the query using the codes to generate feedback information to the user for query refinement, the feedback information including a plurality of query terms associated with the query and to be selected by the user; and means for identifying a source of the query term, upon receiving one of the query terms from the user.

A search engine receives a search query having one or more keywords. The documents in the result set from that search query are analyzed to identify one or more additional keywords that further segment, or separate, the initial result set. These additional keywords are presented to the user who then selects whether to include or exclude documents matching the additional keywords. In this way, the number of documents in the initial result set is reduced in a relatively quick and effortless manner.

A data handling method combines search capabilities with analytical functionality. The invention provides advantages when dealing with structured documents (such as electronic catalogs, XML documents, text documents, HTML documents, Internet documents, etc.) and other data stored in a computer system. Various embodiments include simplified ways to express search / analysis requests of a data set and also to express results to such requests.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

The invention provides an SQL(structured query language) query plan generation method oriented to streaming data processing, which is characterized by including the following steps of receiving SQL commands input by users; judging whether grammars of the SQL commands are correct or wrong; preprocessing the SQL commands if the grammars of the SQL commands are correct; switching the continuous duty to the streaming duty, analyzing and optimizing the streaming duty to generate query plans if the SQL commands indicate the continuous duty; and finally (7) carrying out the query plans. The SQL query plan generation method oriented to streaming data processing is capable of generating the optimum SQL query analysis plans according to characteristics of data, is high in processing speed and analysis efficiency and particularly suitable for the field of streaming data processing, while users are allowed to use user-defining SQL data format.

Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

The invention provides an OLAP multi-dimensional analysis and data mining system. The system comprises a data model, a distributed OLAP engine, an OLAP analysis engine, a multi-dimensional report analysis interface, a data mining interface and a data visualization tool; the data model is dragged by a user through a visual interface to finish data modeling, and has unified model configuration; thesystem automatically performs model adaptation and enables the data model to be called by cooperation with internal other engines or tools; the distributed OLAP engine provides a multi-dimensional data model preprocessing capability for the OLAP system; the OLAP analysis engine supports a multi-dimensional query analysis engine of a big data platform and a relational database, and analyzes an MDXstatement to obtain a standard SQL; the multi-dimensional report analysis interface and the data mining interface have multi-dimensional data analysis and data mining functions and provide a report analysis method and a data mining algorithm model; and the data visualization tool provides a visual service for report analysis and data mining in the multi-dimensional report analysis interface and the data mining interface, and provides visual result social sharing and chart management functions.

Disclosed herein is a natural language-based tour destination recommendation apparatus and method. The natural language-based tour destination recommendation apparatus includes a query analysis unit, a tour destination search unit, and a tour destination recommendation and provision unit. The query analysis unit performs linguistic analysis on a user's tour-related query and then extracting query analysis information to be used for figuring out the user's intention from a document index DB. The tour destination search unit searches a tour destination DB for one or more recommended tour destinations using the extracted query analysis information. The tour destination recommendation and provision unit provides the retrieved recommended tour destinations to the user.

A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

The invention provides a P2P financial platform fund bank storage management method based on a block chain, a P2P fund storage management system of a first participant, a P2P financial platform application of a second participant, a government platform and an insurance platform of a third participant and the like need to be provided, and all the participants are mutually connected through the block chain network. The block chain network comprises an intelligent contract block chain network and a certificate storage block chain network; after the P2P financing platform application executes thepoint-to-point network borrowing and loan service, the P2P fund storage and management system performs storage and management; and the insurance platform provides insurance service, performs service scheduling and storage through the P2P fund storage and management platform, inquires and analyzes storage data through the government platform, and audits and supervises P2P services. According to theinvention, the whole-process legal management of P2P fund bank storage and management is realized, the data storage difficulty of P2P transaction is reduced, the system performance based on the blockchain technology is improved, the approval process and business transaction complexity of multiple participants in fund hosting are simplified, and the information transparency and the supervision strength are improved.

The invention discloses a telecom operator mass data processing method based on a Hadoop platform. The telecom operator mass data processing method based on the Hadoop platform comprises the following steps that firstly a Sqoop tool is used for extracting data in an original data system into a Hadoop local server; then tables are created in Hive and a Hive script is written according to the data model and operation requirements of an operator data warehouse; then the Hive script is executed to convert the source data and load the data into an objective table of the Hive; finally Hive query languages or a MapReduce program is written according to requirements to carry out query analysis on the data in the objective table. According to the telecom operator mass data processing method based on the Hadoop platform, all kinds of tools are sufficiently used in the Hadoop platform on the foundation that operational requirements are met to achieve telecom operator mass data processing, and working efficiency is greatly improved.

A method for monitoring and securing interprogram communications between a plurality of business applications in a network includes gathering, using a computing device, information regarding communications between the plurality of business applications, the gathering step including steps of reading information from a log file in which information regarding each communication into and out of the business application is recorded, reading information from internal files of the business application and recording information obtained from data messages entering and leaving the business application, simplifying the gathered information, the simplifying step including normalizing the information into a common format based on a shared parameter value; and merging the normalized information together, classifying the information based on desired parameters, the classifying step including steps of designating a classification of the information based on content of the communication and designating certain information as sensitive; and analyzing the classified information to provide a report on the information to be presented to a user via a user interface based on a user provided query, the analyzing step further including a step of generating the report based at least in part on the classification of the information designated in the classifying step.

A CMDB system based on a graphic data base comprises a relational data base, the graphic data base, a data mapping module, a correlation analysis module and a CMDB query module, wherein the relational data base is a data storage module in an original CMDB; the data mapping module is used for mapping configuration item instance data in the relational data base into the graphic data base; the correlation analysis module is used for obtaining a configuration item instance set related to a query condition from the graphic data base; the CMDB query module is used for querying detail analysis data corresponding to specific configuration item instances from the relational data base. By the utilization of the characteristic of consistency between the relation between the configuration item instances and a graphic data structure, the specific configuration items and the relation are mapped into a graphic data base structure, so that complex query analysis calculation is converted to relatively simple graphic traverse analysis calculation, the system logic is simplified, and the enforcement efficiency of the system is improved. Meanwhile, the graphic data base optimizes storage and query of the graphic data structure, so that the execution time of correlation query is shortened.

The invention provides a hadoop-based k-means clustering analysis system and method of a network security log. The hadoop-based k-means clustering analysis system comprises a log data acquisition subsystem, a log data mixing mechanism storage management subsystem and a log data analysis subsystem. The method includes the steps that in a data storage layer, a mixing storage mechanism with Hadoop cooperating with a traditional data warehouse is adopted to store log data, a Hive operation interface is provided in a data access layer, the data storage layer and a computing layer receive instructions from a Hive engine, and efficient query analysis on the data is achieved by being matched with MapReduce through HDFS; when mining analysis is conducted on log data, MapReduce is adopted to conduct clustering mining analysis on the network security log through a k-means algorithm; the framework with the Hadoop cooperating with the traditional data warehouse is adopted, the detects of the traditional data warehouse on the aspects of mass data processing, storage and the like, and meanwhile an original traditional data warehouse is fully used; clustering analysis is conducted through the MapReduce-based k-means algorithm, and safety grade evaluation and early warning can be conducted on log data timely.

The invention relates to a tourism service system. The system at least comprises a service central system (1), an enterprise terminal (2), a wireless mobile terminal (3), a fixed service terminal (4), an internet (5), a satellite (6) and a position signal emitter (7), and can carry out tour service, intelligent query analysis and shopping and amusement, book ticket and order food, exchange and interact, carry out tourist management and checking-in, publish, update and maintain information, and plan the tourism scheme, and the like. The system integrates the wireless mobile terminal carried by people in daily and can be used for exhibition halls with dense underground landscapes and narration points, provides the all-round service for tourists, guides, companies, and the like, enhances the real-time property, high efficiency, personality, initiativeness and intelligence of the tourism service and creates wider exchange platform for uses, thereby being capable of finding the persons with the same interests, needs and benefits. The information system or terminal which integrates tourists, tourism enterprises, banks, tourism administrations and insurance companies, and the like widens the range of the tourism service.

The invention discloses a point group geographic entity selection method under the restriction of correlated elements. The method comprises the following steps of: 1) maintaining the contour form of a point-like geographic element group; 2) maintaining the density distribution characteristics of the point group, clustering the point elements according to the density, and sorting and selecting; and 3) restricting correlated elements. By the method, a map needed by a user can be obtained rapidly and effectively. The aesthetic quality of the map is ensured and the prominence is given to the key points for easy query analysis while strengthening the essence, abandoning the refuse and maintaining the logical relation and solitary relation between the map objects by analyzing the requirements of the user.

The present invention discloses a 3D simulation digital information channel system and the realization method thereof, wherein, a system comprises a GPS satellite used for the positioning detection for objects on a channel, a telemetry remote control platform for the objects on the channel, which is used to detect the states of the objects on the channel and execute wireless communication, a navigation mark monitoring center used for the 3D display monitoring of the objects of the channel and on the channel and / or around the channel, a wireless communication system used to transmit data among the navigation mark monitoring center and a telemetry remote control platform for the objects on the channel and / or a mobile terminal. The navigation mark monitoring center comprises a system interface used for the communication with the wireless communication system, and a server used for a database as well as management, the display browsing of channel 3D simulation electronic graph and the query analysis of the objects on the channel. The system can veritably reflect the status of the channel and the objects on the channel with three dimensions in a computer, which is a 3D model having an important spatial pattern and visual function in 3DGIS.

The invention discloses an intelligent management system and an intelligent management cabinet thereof. The intelligent management system comprises an intelligent control unit, a real-time communication unit, a data collection unit and a query analysis unit. The intelligent management cabinet comprises a cabinet body, multiple intelligent drawers are arranged in the cabinet body, the cabinet body is further provided with an intelligent identity recognition device for recognizing the identity of a user and an intelligent electronic control lock with an automatic popup mechanism. The intelligent identity recognition device is a fingerprint recognition device or an ID card recognition device or a user name password recognition device. The intelligent management system can achieve unmanned intelligent management, and the user achieves remote monitoring and management over a management unit through a network platform; real-time counting and query are achieved; the system also avoids drifting of sensors after the sensors are loaded for a long time through a sensor creep operational formula, counting is made more accurate, all data can be printed or docked with ERP and other warehouse management systems, and management is facilitated.

Disclosed are systems, apparatuses, circuits and methods for extrapolating meaning from vocalized speech or otherwise obtained text. Speech of a speaking user is sampled and digitized, the digitized speech is converted into a text stream, the text stream derived from speech or otherwise obtained is analyzed syntactically and semantically, a knowledgebase in the specific context domain of the text stream is utilized to construct one or more semantic / syntactic domain specific query analysis constrains / rule-sets, and a “Domain Specific Knowledgebase Query” (DSKQ) or set of queries is built at least partially based on the domain specific query analysis constrains / rule-sets.

In one aspect, a database analytical tool or function analyzes join queries to detect queries which could be reduced if a referential integrity relationship were known. In another aspect, a probable latent referential integrity relationship is detected using one or more heuristics. Preferably, a join query is analyzed to detect a joined table which has no other conditions placed on it, and no referential integrity relationship already defined. For any such query, the analysis attempts to verify a probable latent referential integrity relationship using at least one heuristic, such as comparing cardinality of the potential primary key with the size of the table and / or with the cardinality of the foreign key. It is further possible to execute the join for some sample of records, and determine whether any records were found which did not conform to referential integrity constraints.

An intelligent search and retrieval system and method is provided to allow an end-user effortless access yet most relevant, meaningful, up-to-date, and precise search results as quickly and efficiently as possible. The method may include providing a query profiler having a taxonomy database; receiving a query from a user; accessing the taxonomy database of the query profiler to identify a plurality of codes that are relevant to the query; augmenting the query using the codes to generate feedback information to the user for query refinement, the feedback information including a plurality of query terms associated with the query and to be selected by the user; presenting the feedback information to the user; receiving one of the query terms from the user; and identifying a source of the query term and presenting to the user. The system may include a query profiler having a taxonomy database to be accessed upon receiving a query from a user, which identifies a plurality of codes that are relevant to the query; means for augmenting the query using the codes to generate feedback information to the user for query refinement, the feedback information including a plurality of query terms associated with the query and to be selected by the user; and means for identifying a source of the query term, upon receiving one of the query terms from the user.

A system, method and computer program product for efficiently retrieving relevant passages to questions based on a corpus of data. A processor device receives an input query and performs a query analysis to obtain searchable query terms. The processor performs: matching metadata associated with one or more documents against the query terms. The document metadata includes one or more of: a title of the documents, one or more user tags or clouds. Then the processor device performs: mapping matched document metadata to corresponding one or more documents; identifying corresponding matched documents to form a subcorpus of documents; and conducting a search in the data subcorpus using the searchable query terms to obtain one or more passages relevant input query from the identified documents.

The present invention provides a device management system. The system comprises a device file management module, a maintenance planning management module, a fault management module, an inspection maintenance work order management module, an expense budget module, a statistic analysis management module, a prompting module and a system management module. The device file management module is configured to store and manage the basic static information, the whole life cycle document data, the device faults, the maintenance history and the device changing information of a device and provide functions of addition, deletion, modification, query and statistics analysis; and the maintenance planning management module is configured to perform establishment, examination and approval, issuing and execution, statistics and analysis query of a preset plan project; and the fault management module is configured to report fault records and start a fault confirmation process after device defects or faults are detected, eliminate faults according to the corresponding preset fault processing mode after confirmation of the faults and record the faults in the fault knowledge base. The efficiency and the precision of management are improved, and a lot of manpower is saved.