621 results about "Text searching" patented technology

A real-time system incorporating speech recognition and linguistic processing for recognizing a spoken query by a user and distributed between client and server, is disclosed. The system accepts user's queries in the form of speech at the client where minimal processing extracts a sufficient number of acoustic speech vectors representing the utterance. These vectors are sent via a communications channel to the server where additional acoustic vectors are derived. Using Hidden Markov Models (HMMs), and appropriate grammars and dictionaries conditioned by the selections made by the user, the speech representing the user's query is fully decoded into text (or some other suitable form) at the server. This text corresponding to the user's query is then simultaneously sent to a natural language engine and a database processor where optimized SQL statements are constructed for a full-text search from a database for a recordset of several stored questions that best matches the user's query. Further processing in the natural language engine narrows the search to a single stored question. The answer corresponding to this single stored question is next retrieved from the file path and sent to the client in compressed form. At the client, the answer to the user's query is articulated to the user using a text-to-speech engine in his or her native natural language. The system requires no training and can operate in several natural languages.

Text searching is achieved by techniques including phrase frequency analysis and phrase-co-occurrence analysis. In many cases, factor matrix analysis is also advantageously applied to select high technical content phrases to be analyzed for possible inclusion within a new query. The described techniques may be used to retrieve data, determine levels of emphasis within a collection of data, determine the desirability of conflating search terms, detect symmetry or asymmetry between two text elements within a collection of documents, generate a taxonomy of documents within a collection, and perform literature-based problem solving. (This abstract is intended only to aid those searching patents, and is not intended to limit the disclosure of claims in any manner.)

The invention discloses a threat early warning and monitoring system and method based on big data analysis and a deployment architecture. The system comprises a data acquisition system module, which is used for carrying out real-time data acquisition on original network traffic; a data storage system module, which is used for carrying out data merging and data cleaning on the data collected by the data acquisition system module, and then, carrying out storage management; a real-time threat intelligent analysis system module, which is used for carrying out deep analysis and mining on security data through data mining, text analysis, traffic analysis, full-text search engine and real-time processing, and identifying unknown security threats in real time by combining an intrusion detection module, a network abnormal behavior module and a device abnormal behavior module; and a situation awareness display system module, which is used for carrying out comprehensive display on security threat situations stereoscopically in real time through a data visualization tool library. The threat early warning and monitoring system and method based on big data analysis and the deployment architecture are used for network security threat situation awareness and deep analysis under a plurality of service scenarios, and realize comprehensive abilities from attack early warning, attack identification to analysis and evidence obtaining.

A method and system are provided for identifying a television content item or a television channel desired by a television viewer from a set of television content items and television channels. A non-intrusive interface is provided to the viewer on a television display. The television viewer using the non-intrusive interface inputs a reduced text search entry directed at identifying a desired television content item or a television channel. The reduced text search entry includes one or more characters of a descriptor relating to the desired television content item or the television channel. The system dynamically identifies a group of television content items or television channels from the set of television content items and television channels matching the search entry as the television viewer enters each character of the reduced text search entry. The television content items or television channels of the group are ordered in accordance with one or more given criteria. The system displays on the non-intrusive interface identification of one or more of the television content items or television channels of the identified group as ordered.

The invention puts forward an image intelligent mode identification search method. The method can establish an image sample training set database and combine with basic text search engine technology and basic image content inquiry technology, so that a network creeper can perform Internet image search and URL information resolution, so as to catch the image URL and relevant information into a local primary database; perform such pre-processes as preliminary filtration, decompression and image pre-classification and etc for the images; then, calculate color characteristics, grain characteristics and shape characteristics of the extraction images, so as to gain corresponding characteristic vector sets; combine with the image URL information before saving the images into the image basic database and establishing an index for the images; perform characteristic vector similarity calculation for images in the image basic databases and sample training sets, and then, save the classified images into an image classification database; accept key words or image description that are input by the user, create the index vector, perform similarity calculation with the image characteristic vectors in the image classification database, and then, return the index results to the user.

Disclosed herein is a method and system for integrating an enterprise's structured and unstructured data to provide users and enterprise applications with efficient and intelligent access to that data. Queries can be directed toward both an enterprise's structured and unstructured data using standardized database query formats such as SQL commands. A coprocessor can be used to hardware-accelerate data processing tasks (such as full-text searching) on unstructured data as necessary to handle a query. Furthermore, traditional relational database techniques can be used to access structured data stored by a relational database to determine which portions of the enterprise's unstructured data should be delivered to the coprocessor for hardware-accelerated data processing.

A method and system are provided for identifying a television content item desired by a television viewer from a set of television content items. Each of the television content items has one or more associated descriptors. The system receives from the television viewer a reduced text search entry directed at identifying the desired television content item. The search entry is a prefix substring of one or more words relating to the desired television content item. The system dynamically identifies a group of one or more television content items from the set of television content items having one or more descriptors matching the search entry as the television viewer enters each character of the search entry. The system then transmits the names of the one or more television content items of the identified group to be displayed on a device operated by the television viewer.

A method of searching for Personal Information Management information of a handheld electronic device includes accepting input of one or more search criteria, such as text search criteria and/or name search criteria; accepting input of a representation of a plurality of different databases or applications of the handheld electronic device including Personal Information Management information to be searched; and conducting a search of the different databases or applications based upon the one or more search criteria and the representation of different databases or applications. The method determines one or more search results from the search and displays those search results.

A method and system are provided of processing a search query entered by a user of a device having a text input interface with overloaded keys. The search query is directed at identifying an item from a set of items. Each of the items has a name including one or more words. The system receives from the user an ambiguous search query directed at identifying a desired item. The search query comprises a prefix substring of at least one word in the name of the desired item. The system dynamically identifies a group of one or more items from the set of items having one or more words in the names thereof matching the search query as the user enters each character of the search query. The system also orders the one or more items of the group in accordance with given criteria. The names of the one or more items of the identified group are output to be displayed on the device operated by the user as ordered with the characters of the one or more words in the names corresponding to the prefix substring of the search query being highlighted.

A system and method for searching recorded speech is disclosed. The system and method comprises converting the recorded speech into text using a voice recognition system. As the speech is being converted, naturally occurring breaks in the languages will be used to take time indexes from the recording. The system and method includes creating a full text index of the recorded speech utilizing an information extender. The full text index contains a plurality of time stamps that point to the occurrence of words in the recorded speech. Finally, the text is searched by a full text search server that has linguistic search capabilities using the full text index. Finally, the searched text, the text index and the recorded speech are stored in the database. The recorded speech is searched by locating relevant phrases or words, and then mapping the time stamps associated with the relevant phrases words back to the recorded speech in the database.

A system and method for preparing and searching a user-personalized library of content includes preparing a general library comprised of images of pages of content and electronically-searchable text corresponding to the text in the page images, which is then personalized by receiving from the user a selection of the content to include in the user's personalized library. User selection of content for a personalized library may be accomplished manually or automatically as a result of user actions, such as user review or purchase of content. Preferably, full text searching of the content in the user's personalized library is enabled. Page images in the personalized library containing text that match the user's search terms are provided to the user for display. Highlighting of search terms in page images by a user device and access rules that act to limit the viewing of content are further provided.

Full text searching may be made available for resources stored in a database according to a database schema. A method for conducting a search on structured data using a text search engine includes the steps of: modeling a resource stored in a relational data store as a web page; providing a locator to the resource; and providing the resource in a consumable format to the text search engine. The method may include the additional steps of: receiving a search on the resource; converting the search into a converted query consumable by the search engine; and providing the converted query to the search engine.

The present invention provides a new method for indexing a given text objects, using text parsing module and words indexing databases. According to this method each word is assigned a first index code according to words meaning, a second index code according to each word syntax category and a third index code according to word syntactical role. The words indices are arranged according to hierarchical order based on syntactical relations between the text words. At the last stage, differentiating symbols, which represent indices hierarchical order, are assigned between adjacent words indices. The indexing process may be implemented as automatic computerized program or as wizard application enabling human intervention in the indexing process. The indexing method can be utilized for enabling text search utilities based on matching between The query indices and source text indices.

Disclosed is a crawler and search engine for a business data database. The crawler is configured to intermittently access data in the business data database and index the data to an index database. The crawler is also configured to monitor the load on the database and to adjust it's crawl rate in response to the load. The search engine searches through the index database in response to user queries. Results from the query are displayed to the user and when selected take the user to the associate record in the business data database.

The present invention relates to a merchandise recommending system, and it is an object of the present invention is to derive recommended merchandise through a multiple image search, in which image characteristic information is extracted through a text search or an image search, thereby deriving recommended merchandise. To accomplish the above object, according to one aspect of the present invention, there is provided an operator server comprising a data receiving unit for receiving a ‘merchandise search request signal’ containing a text search or an image search (request) from the user computer and receiving a unique identification number of each user input information and merchandise information together with a corresponding matching table from the manager computer, a matching process module unit for sequentially arranging images by performing a command processing on search keywords that are searched through the characteristic information extraction module unit, a merchandise recommendation module unit for deriving recommended merchandise using the image characteristic information according to a search result, a data transmission unit for transmitting the merchandise extracted through the merchandise recommendation module unit to the user computer, and a data storage unit stores the user input information, merchandise information, unique identification numbers, and matching table.

A hierarchical distributed search mechanism is integrated into a distributed file system. Traditional file system APIs (create, open, close, read, write, link, rename, delete, . . . ) and the over-the-wire protocols employed to project these APIs into remote client sites (CIFS, NFS, DDS, Appletalk) are extended to enable the dynamic creation of temporary directories containing links to objects identified by search engines (executing at sites “close” to “their” data) as meeting the search criteria specified by the first parameter of a search function call. The search function, derived from the standard file system API function create, is added to the file system API.

Disclosed is a method for systematically collecting and searching for access routes of information resources. Search index node is formed in hierarchical tree structure in the computer. Basic search information including access route and name of resource loaded on web browser is input with selection of search index node. Information node is configured and stored in linkage with the selected search index node based on the basic search information. Text search window is provided to the user to receive hierarchical information node access route distinguished by identifier, output node name list in the hierarchy corresponding to the identifier, receive user selection of node name from the list, and adds the selected node name to the identifier to hierarchically extend the access route step by step. When settled, the access route is extracted, and target information resource is obtained through Internet to be output to the user.

This invention uses linguistic principles, which together can be called Collocational Cohesion (CC), to evaluate and sort documents automatically into one or more user-defined categories, with a specified level of precision and recall. Human readers are not required to review all of the documents in a collection, so this invention can save time and money for any manner of large-scale document processing, including legal discovery, Sarbanes-Oxley compliance, creation and review of archives, and maintenance and monitoring of electronic and other communications. Categories for evaluation are user-defined, not pre-set, so that users can adopt either traditional categories (such as different business activities) or custom, highly specific categories (such as perceived risks or sensitive matters or topics). While the CC process is not itself a general tool for text searches, the application of the CC process to large collections of documents will result in classifications that allow for more efficient indexing and retrieval of information. This invention works by means of linguistic principles. Everyday communication (letters, reports, emails-all kinds of communication in language) does follow the grammatical patterns of a language, but forms of communication also follow other patterns that analysts can specify but that are not obvious to their authors. The CC process uses that additional information for the purposes of its users. Any communication exchange that can be recognized as a particular kind of discourse may be used as a category for classification and assessment. Specific linguistic characteristics that belong to the kind of discourse under study can be asserted and compared with a body of general language, both by inspection and by mathematical tests of significance. These characteristics can then be used to form the roster of words and collocations that specifies the discourse type and defines the category. When such a roster is applied to collections of documents, any document with a sufficient number of connections to the roster will be deemed to be a member of the category Larger documents can be evaluated for clusters of connections, either to identify portions of the larger document for further review, or to subcategorize portions with different linguistic characteristics. The CC process may be extended to create a roster of rosters belonging to many categories, thereby increasing the specificity of evaluation by multilevel application of this invention. The CC process works better than other processes used for document management that rely on non-linguistic means to characterize documents. Simple keyword searches either retrieve too many documents (for general keywords), or not the right documents (because a few keywords cannot adequately define a category), no matter how complex the logic of the search. Application of statistical analysis without attention to linguistic principles cannot be as effective as this invention, because the words of a language are not randomly distributed. The assumptions of statistics, whether simple inferential tests or advanced neural network analysis, are thus not a good fit for language. This invention puts basic principles of language first, and only then applies the speed of computer searches and the power of inferential statistics to the problem of evaluation and categorization of textual documents.

Certain embodiments of the present invention provide systems and methods for free text searching of electronic medical records. Certain embodiments provide a system including an interface configured to accept search criteria and display search results and a search engine accepting a free text search query from the interface. The free text search query is based on search criteria entered via the interface. The search engine communicates with a search crawler, which searches electronic medical record data based on the free text search query and provides search results. In certain embodiments, the system may de-identify patient/physician data from the search results. Certain embodiments provide a system for retrieving EMR search results. The system includes an interface configured to accept search criteria and display search results, a database interface adapter for interfacing with an electronic medical record database to transmit and receive data and a formatter for formatting search results.

A full-text search index system and method is generated by creating instances of a database index from an in-memory inverted list of keywords associated with a text identifier and the occurrences of the keyword in the text. Instances of the index are placed in a priority queue. A merge scheduling process determines when a merge should be initiated, selects instances of the index to be merged and selects a type of merge to perform.