30 results about "Indexer" patented technology

An indexer indexes a database of documents, and a search engine searches the database of documents. Nesting level information stored in index entries is used to identify, and match together, start and end meta words comprising fields at assorted nesting levels within a document. Based on a query specifying words to be found within fields, spatial criteria are applied to the identified meta words to determine if the specified words are found within the specified fields. A subset of the documents have nested fields, and each nested field has an associated start meta word and end meta word. Each meta word has an associated nesting level. Each document is indexed by parsing the document to determine locations within the document of words and meta words, as well as the nesting level associated with each meta word. An index is generated that has word entries, meta word entries, and generic meta word entries. The meta word entries indicate locations within the documents of an identified meta word, as well as the nesting level of the meta word. The generic meta word entries identify locations within the document of a class of meta words, including meta words at all nesting levels of the meta words within the document. For each identified location within the generic meta word entry, the generic meta word entry also includes nesting level information associated with the meta word at the identified location.

The invention discloses an unstructured document management and rule and system entry management integrated system which comprises a data input module used for inputting rule and system files; The system file data set is used for storing rule file data; The indexer is used for constructing an index for the rule file data; The index library is used for storing all file indexes; The word segmentation device is used for analyzing at least one retrieval keyword from retrieval information input by a user; And the retriever is used for determining a target file index matched with the retrieval keyword from the file indexes in the index library, determining target description information corresponding to the target file index and displaying the target description information. The invention provides a storage and retrieval platform integrating unstructured document management and rule entry management, a user can quickly and accurately obtain a full-text retrieval result of a rule, and meanwhile, the cloud storage, access and management functions of the unstructured document can be realized.

The disclosure provides examples of methods, apparatuses, systems, and computer program products for implementing a search indexer. One example method includes receiving, by index workflow circuitry, a search index update indicator, causing, by the index workflow circuitry and in response to receiving the search index update indicator, index generation circuitry to retrieve data sets from a plurality of data sources, calculating a checksum for each of the data sets, comparing the checksum for each of the data sets to a set of search index metadata, in response to determining that at least one checksum for at least one of the data sets does not match a metadata checksum from the set of search index metadata, generating a set of search index data from the data set corresponding to the at least one checksum, generating a search index using at least the set of search index data, and transmitting the search index to a search service for use in responding to at least one search query.

The embodiment of the invention discloses a sensitive word detection method and device, computer equipment and a storage medium. The method belongs to the field of artificial intelligence, and the data processed by the method can be stored in a block chain. The method comprises the steps of obtaining a sensitive word bank; constructing a harmonic word bank; constructing a sensitive word indexer and a harmonic word indexer; if the to-be-tested text is received, filtering the to-be-tested text through a sensitive word indexer to obtain a first sensitive word set; removing non-Chinese charactersin the to-be-tested text to obtain a redundancy-removed text, and filtering the redundancy-removed text through a sensitive word indexer to obtain a second sensitive word set; filtering the to-be-tested text through a harmonic word indexer to obtain a third sensitive word set; filtering the redundancy-removed text through the harmonic word indexer to obtain the fourth sensitive word set, so that sensitive words in the to-be-detected text can be recognized, deformation words of the sensitive words can also be recognized, and the recognition accuracy is greatly improved.

The present disclosure provides a method, system, and computer-readable storage media for operating a repository supporting multiple package types. To illustrate, the repository may be operated in accordance with an index framework that is used to maintain internal structures and interdependencies of each of the multiple package types. In a particular implementation, a REST API module may receive a REST request corresponding to a package type. In response to receiving the REST request, the REST API may initiate an index operation to generate index indicia based on the package type and a content of a portion of at least one memory corresponding to the package type. Based on the index indicia, an index model module may generate a packet type index and store, at a repository module, the package type index at a location in the at least one memory corresponding to the package type.

The invention discloses an industrial intelligent search system which comprises a scheduler, a collector, a knowledge engine, an industrial dictionary and a word segmentation device. The collector is used for carrying out data collection and data processing according to task requirements; the collector is in communication connection with the scheduler, and the scheduler is used for monitoring the execution condition of a collection task in real time according to a task list; the collector transmits the collected data to a database; the database is in communication connection with the indexer and the knowledge engine; the indexer is in communication connection with the index database; the index database is respectively in communication connection with the industrial dictionary and the searcher; the industrial dictionary is in communication connection with the word segmentation device; the word segmentation device is used for splitting a text into a vocabulary list; according to the method, the industrial enterprise information search efficiency and accuracy can be effectively improved, and the requirement of manufacturing enterprise users for personalized search of internal information is met; and the industrial manufacturing field lexicon covers the whole process from design to scrapping, and the pertinence is high.

According to the machine data-based measurement analysis method and system provided by the invention, different types of machine data are collected, forwarded, indexed, calculated and visualized, so that the analysis requirements of large-data-volume, semi-structured and large-concurrency complex machine data generated by an important information system are met; and operation and maintenance personnel can check the data in a multi-dimensional and fine-grained manner. According to the technical scheme, the method comprises the steps that a Spunk collector collects various machine data of an information system in a unified mode; the Splunk transponder is used for intensively forwarding the collected machine data to the Splunk indexer; carrying out centralized storage and calculation on the machine data by the Splunk indexer; the Spunk searcher analyzes the machine data in the Spunk indexer based on a predetermined measurement analysis model to obtain a visual measurement result; and the user logs in the Splunk searcher to check the measurement result.

The invention provides a large-scale two-dimensional and three-dimensional space data search engine based on a network. The large-scale two-dimensional and three-dimensional space data search engine structurally comprises a space indexer module, a space server module and an application program interface module. The spatial indexer module is used for establishing a spatial index record database. The space server module comprises a queue response processor and a solr search server module. The application program interface module comprises a query interface and a feedback interface. The output end of the spatial index record database and a query interface of the application program interface module are respectively connected with the solr search server module, and the output end of the solr search server module is connected with a feedback interface of the application program interface module and is output to the outside through the feedback interface. According to the method, modular design is adopted, data of different scales can be searched for conveniently, expansion is easy, the query speed of large-scale two-dimensional and three-dimensional space information is greatly increased, and the quality of a data source and the retrieval accuracy are remarkably improved.

A per user system include for a virtual desktop includes a server connected to multiple users, wherein each server hosts multiple application sessions accessible by the users. An indexer hosted on the server can be configured to analyze a file on the server to identify a user that owns the file without input from the application sessions and to save the file to a virtual hard disk (VHD) of the identified user. The VHD can be temporarily saved on the server. A communications device can be connected to the indexer, where the communication device can send the VHD of the identified user from the server to a storage device. A processor can be on a second server, where the processor can retrieve the VHD of the identified user from the storage device and temporarily save the VHD of the identified user on the second server.

The invention relates to a serialization task completion method based on a memory consolidation mechanism and a GAN model. Compared with the prior art, the defect that a serialization task cannot be completed due to the fact that a model is forgotten in a multi-task scene is overcome. The method comprises the following steps: obtaining a serialized task; setting an indexer and generating a task index; performing task training by using a GAN model; performing joint training of pseudo samples; and completing the new serialization task. Through protection of important parameters and design of memory playback, a memory consolidation mechanism is applied to the GAN model, so that the GAN model has a multi-task processing capability, important information in sub-tasks can be reserved, non-important information is forgotten, and completion of serialized tasks is realized.

Time-series columnar-based information is received and indexed in a compute infrastructure for cost-effective cloud-based object storage. The approach leverages a file format that enables highly-performant search and retrieval of the data stored in the cloud. In operation, an indexer receives the time-series information, indexes that information according to the file format, and forwards the indexed information for storage to the object store, where it is stored as a set of time-based partitions. A partition comprises a set of files, namely, a manifest file, a data file, and an index file. These files are structured as a compact instance of a set of raw unstructured data that comprises the given partition. Highly-performant information retrieval is enabled in response to a time-bounded query, because operations at a query peer (with respect to one or more partitions) are carried out in real-time during query processing and without requiring retrieval of the data file as a whole.

The invention provides a data backtracking output method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The data backtracking output method comprises the following steps: initializing a target data structure, and receiving event data; extracting dimension data from the event data, determining index data corresponding to the dimension data, and storing the index data into a dimension indexer; storing the dimension data into a feature domain corresponding to the target data structure based on the index data; and if it is detected that the target dimension data in the feature domain is greater than or equal to the statistical threshold, backtracking and outputting all dimension data corresponding to the target dimension data from the target data structure. According to the technical scheme, the dimension data in the event data can be stored in the target data structure, the storage efficiency of the dimension data is improved, the dimension data can be backtracked from the target data structure according to the index data, and the backtracking and output efficiency of the dimension data is improved.