167 results about "Text query" patented technology

In particular embodiments, a method includes receiving an text query, identifying nodes and edges from a social graph that correspond to character strings from the text query, and then generating recommended queries that include references to the identified nodes and edges.

A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of documents or other materials by certain common attributes that characterize the materials. The invention includes several aspects of a data-driven, hierarchical search and navigation system that employs this search and navigation mode. The search and navigation system of the present invention includes features of an navigation interface, a search interface, a knowledge base and a taxonomy definition process and a classification process for generating the knowledge base, a graph-based navigable data structure and method for generating the data structure, World Wide Web-based applications of the system, and methods of implementing the system. Users are able to search or browse a particular collection of documents by selecting desired values for the attributes or by searching the attribute-value pairs. A data-driven, hierarchical information search and navigation system and method enable this navigation mode by associating terms with the materials, defining a set of hierarchical relationships among the terms, providing a guided navigation mechanism based on the relationship between the terms, and providing a search mechanism that can respond to free-text queries with single-term or multi-term interpretations. In another aspect of the invention, implementations of the invention may be scalable through parallel or distributed computation.

The invention is a method for textual searching of text-based databases including databases of compiled internet content, scientific literature, abstracts for books and articles, newspapers, journals, and the like. Specifically, the algorithm supports searches using full-text or webpage as query and keyword searches allowing multiple entries and an information-content based ranking system (Shannon Information score) that uses p-values to represent the likelihood that a hit is due to random matches. Additionally, users can specify the parameters that determine hits and their ranking with scoring based on phrase matches and sentence similarities.

A system and method for assisting a user in navigation of an image dataset are disclosed. The method includes receiving a user's text query, retrieving images responsive to the query from an image dataset, providing for receiving the user's selection of a first feature selected from a set of available first features via a graphical user interface, providing for receiving the user's selection of a second feature selected from a set of available second features different from the first features via the graphical user interface, and displaying at least some of the retrieved images on the graphical user interface. The displayed images are arranged, e.g., grouped, according to levels and / or combinations of levels of the user-selected first and second features.

A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of documents or other materials by certain common attributes that characterize the materials. The invention includes several aspects of a data-driven, hierarchical search and navigation system that employs this search and navigation mode. The search and navigation system of the present invention includes features of an navigation interface, a search interface, a knowledge base and a taxonomy definition process and a classification process for generating the knowledge base, a graph-based navigable data structure and method for generating the data structure, World Wide Web-based applications of the system, and methods of implementing the system. Users are able to search or browse a particular collection of documents by selecting desired values for the attributes or by searching the attribute-value pairs. A data-driven, hierarchical information search and navigation system and method enable this navigation mode by associating terms with the materials, defining a set of hierarchical relationships among the terms, providing a guided navigation mechanism based on the relationship between the terms, and providing a search mechanism that can respond to free-text queries with single-term or multi-term interpretations. In another aspect of the invention, implementations of the invention may be scalable through parallel or distributed computation.

Computerized methods and systems for generating a suggested query list with suggested search terms displayed as highlighted text utilizing a user-defined query are provided. Query search terms are received by a user-interface display. Upon inputting query search terms, the user-interface automatically generates a suggested query list. The suggested query list is associated with the query search term and the suggested query list is comprised of at least one suggested search term. A query suggestion architecture determines if the query search term and the suggested search term are a match, and if so, highlights the suggested search term that is not a match. The user interface displays the highlighted terms to assist in refining a search. The present invention further provides a stemming algorithm that extracts the root form of the query search term.

Systems, methods and articles of manufacture for modeling a joint language-visual space. A textual query to be evaluated relative to a video library is received from a requesting entity. The video library contains a plurality of instances of video content. One or more instances of video content from the video library that correspond to the textual query are determined, by analyzing the textual query using a data model that includes a soft-attention neural network module that is jointly trained with a language Long Short-term Memory (LSTM) neural network module and a video LSTM neural network module. At least an indication of the one or more instances of video content is returned to the requesting entity.

The invention discloses a short text query expansion and indexing method based on a word vector. The short text query expansion and indexing method particularly comprises: A, pretreatment of corpus information of a short text; B, expression of every word in a corpus dictionary by the word vector through a training model; C, query extension; D, obtaining of a text candidate set through a query expansion word set and a BM25 index model; E, extraction of subject of the short text; F, calculation of the text vector of the short text; G, re-sequencing of the short text returned by a traditional indexing model. The short text query expansion and indexing method can more exactly and effectively satisfy the indexing demand of a user; moreover, the query expansion module can find out words capable of expressing user's intension according to the existing data so as to perform the query expansion.

The invention is a method for textual searching of text-based databases including databases of compiled internet content, scientific literature, abstracts for books and articles, newspapers, journals, and the like. Specifically, the algorithm supports searches using full-text or webpage as query and keyword searches allowing multiple entries and an information-content based ranking system (Shannon Information score) that uses p-values to represent the likelihood that a hit is due to random matches. Additionally, users can specify the parameters that determine hits and their ranking with scoring based on phrase matches and sentence similarities.

A system and method for ink database searching using handwriting feature synthesis is disclosed which allows a digital ink database to be searched using a text-based query. Using a writer-specific handwriting model derived from a handwriting recognition system or suitable training procedure, a text query is converted into feature vectors that are similar to the feature vectors that would have been extracted had the author of the digital ink database written the text query by hand. The feature vectors are then used to search the database. This allows the searching of a digital ink database when the only input mechanism available is text entry, and can allow a person other than the author of the digital ink database to search the digital ink database.

A system and method are proposed for identifying multimedia files in a first database which are related to a textual term specified by a user. The textual term is used to search a second database of multimedia files, each of which is associated with a portion of text. The “second database” is usually composed of files from the databases of a very large number of servers connected via the internet. The multimedia files identified in the search are ones for which the corresponding associated text is relevant to the textual term. The identified multimedia files are used to generate a classifier engine. The classifier engine is then applied to the first database of multimedia files, thereby retrieving multimedia files in the first database which are relevant to the textual term. The user can optionally specify whether the retrieved multimedia files are relevant or not, and this permits a feedback process to improve the classifier engine.

A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of documents or other materials by certain common attributes that characterize the materials. The invention includes several aspects of a data-driven, hierarchical search and navigation system that employs this search and navigation mode. The search and navigation system of the present invention includes features of an navigation interface, a search interface, a knowledge base and a taxonomy definition process and a classification process for generating the knowledge base, a graph-based navigable data structure and method for generating the data structure, World Wide Web-based applications of the system, and methods of implementing the system. Users are able to search or browse a particular collection of documents by selecting desired values for the attributes or by searching the attribute-value pairs. A data-driven, hierarchical information search and navigation system and method enable this navigation mode by associating terms with the materials, defining a set of hierarchical relationships among the terms, providing a guided navigation mechanism based on the relationship between the terms, and providing a search mechanism that can respond to free-text queries with single-term or multi-term interpretations. In another aspect of the invention, implementations of the invention may be scalable through parallel or distributed computation.

System and method to translate displayed text of a computer application, the method including: intercepting a command to display text in a first language, the command comprising the text to display in the first language; extracting text to translate from the command; querying a translation mechanism by use of the extracted text; receiving translated text in a second language from the translation mechanism; and displaying the translated text in the second language.

The invention discloses a server-side personal privacy data protecting method in a network information system. The server-side personal privacy data protecting method provided in the network information system is capable of supporting various types of common text query, high query performance and high safety. By paving intermediate software between a client side and a server side of the network information system to implement the provided server-side personal privacy data protecting method to realize two functions: one is storing personal privacy data inputted by the client side of the system into a background database of the server side of the system after the personal privacy data is encrypted and guaranteeing safety of personal privacy information at an incredible server side; the other is building proper indexes for the personal privacy data so as to support common text queries including accurate query, similarity query, range query and the like and guaranteeing efficiency of cryptograph query.

A predictive modelling system for predicting location data from user textual data comprising: an input for receiving user data, the user data comprising user textual data and location data; a pre-processing module arranged to correlate user textual data with location data to form a set of correlated data; a training module arranged to use the set of correlated data to train a machine learning algorithm such that the algorithm is arranged to output predicted location data from an input textual query.

The invention discloses a method and a system for cross-mode-based video time location, and a storage medium. The method and the system are applied in a location problem of a certain time segment in avideo. The method comprises the following steps: establishing a language timing model, to extract text information which is beneficial for time location and extract features; a multimodal fusion model fusing text-visual features, to generate enhanced time representation features; a multi-layer perception model being used to predict matching degree between time and text description, and starting time of the time segment; using a training model which trains data from end to end. The method and the system have higher accuracy than an existing model on a time location problem based on text query.

Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme / document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme / document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and / or documents with the highest cosine value.

A retrieval method on a database of documents including text and names of participants associated with the documents includes: receiving a text query facet of keywords and a persons query facet of participant names; computing an enriched text query as an aggregation of the text query facet, a monomodal expansion of the text query facet based on the keywords, a cross-modal expansion of the text query facet based on the participant names, and a topic expansion of the text query facet based on a topic model associating words and topics; computing an enriched persons query as an aggregation of the persons query facet, a monomodal expansion of the persons query facet based on the participant names, a cross-modal expansion of the persons query facet based on the keywords, and a community expansion of the persons query facet based on a community model associating persons and communities.

In particular embodiments, a method includes receiving an unstructured text query, identifying nodes and edges from a social graph that correspond to n-grams in the text query, and then generating structured queries that include references to the identified nodes and edges.

A system and technique for managing and manipulating data objects, and more particularly data files, of different types utilizing a common user interface. The system allows management of folders and files across many different file types native to many different source applications, such as operating system files, document management system files, photo storage applications, electronic computer aided drawing vaults and the like. The system initializes by requesting an operations list including file information which the system uses to map source application commands to predetermined common commands associated with the system. The system also uses the operations list to display folders and files using native icons and to query the user using text associated with the underlying source application, allowing for ease of file management across a broad array of file applications and types.

A system and method for assisting a user in navigation of an image dataset are disclosed. The method includes receiving a user's text query, retrieving images responsive to the query from an image dataset, providing for receiving the user's selection of a first feature selected from a set of available first features via a graphical user interface, providing for receiving the user's selection of a second feature selected from a set of available second features different from the first features via the graphical user interface, and displaying at least some of the retrieved images on the graphical user interface. The displayed images are arranged, e.g., grouped, according to levels and / or combinations of levels of the user-selected first and second features.

The invention provides a fault-tolerant text query method and equipment. The method comprises the following steps: calculating the text similarity between a first index word submitted by a user and each entry in a lexicon; detecting a result entry of which the text similarity is more than or equal to a first threshold value; and according to the magnitude of the text similarity, arranging the result entry; and providing the arranged result entry to the user for selection. The invention has the advantages that when a user carries out text query and the index word input by the user has wrongly written characters, or redundant words or lacks of one or more words, or the word order in the index word is reverse or above comprehensive faults exist, the invention can furthest find the target entry of the user and has high fault tolerance.

Embodiments of the present invention allow verification of query language by providing a natural language description for the query language. A natural language description is generated for each query component along with selectable text representing the query component. Upon selection of the selectable text, the query component is rendered for editing.

A system and method for retrieving and intelligently grouping definitions with common semantic meaning is disclosed. In response to a user's textual query for the definition of a term or phrase, a set of documents is retrieved from a repository of structured documents. The retrieved documents are labeled with a prediction score based upon predetermined glossary characteristics of the documents. In order to determine whether the retrieved documents are likely to be definitions, features commonly found in definitions are identified. The identified features are classified with numeric values and weighed using a support vector regression algorithm. Definitions that fail to meet a predetermined threshold score are discarded, and those that exceed a predetermined threshold score are labeled and stored in the local database.

Disclosed are editing methods that are added to speech-based searching to allow users to better understand textual queries submitted to a search engine and to easily edit their speech queries. According to some embodiments, the user begins to speak. The user's speech is translated into a textual query and submitted to a search engine. The results of the search are presented to the user. As the user continues to speak, the user's speech query is refined based on the user's further speech. The refined speech query is converted to a textual query which is again submitted to the search engine. The refined results are presented to the user. This process continues as long as the user continues to refine the query. Some embodiments present the textual query to the user and allow the user to use both speech-based and non-speech-based tools to edit the textual query.

The invention provides a hybrid spatial indexing mechanism for processing geographic text Skyline query, wherein geographic text Skyline query refers to performing Skyline query on a geographic text information dataset. Data points in the geographic text dataset include geographic position information and keyword text information. The Inverted-Merged R*-Tree (IMR*-T) integrates the R*tree and theInverted File thought, and the invention belongs to the query indexing field in computer science. The invention focuses on solution of the problem of storing the geographic text dataset and performingSkyline query on the geographic text dataset, can improve the Skyline query efficiency on the premise of ensuring reasonable storage. The invention constructs a multi-branch tree according to data point spatial position distribution by means of an R* tree construction strategy, and can construct an Inverted File for leaf nodes of the tree. To improve the clipping efficiency of the dataset, tree nodes store boundary frame information. The invention is widely suitable for relevant application scenarios of geographic text Skyline query.

The invention is a method for textual searching of text-based databases including databases of compiled internet content, scientific literature, abstracts for books and articles, newspapers, journals, and the like. Specifically, the algorithm supports searches using full-text or webpage as query and keyword searches allowing multiple entries and an information-content based ranking system (Shannon Information score) that uses p-values to represent the likelihood that a hit is due to random matches. Additionally, users can specify the parameters that determine hits and their ranking with scoring based on phrase matches and sentence similarities.

Firstly abstracted packaging of five code feature definition models is carried out for source codes, and fusion of the five code feature definition models is realized through attribute association among program elements, so that a fused multi-dimensional code query feature definition model is provided for a user. By use of a text query language PRDL, while semanteme of the PRDL is analyzed and grammar actions are executed, corresponding analysis and check for the source codes of a target program are realized. By use of a method, a user can efficiently and quickly perform formalized definitionon coding specifications and rules and perform self-check on the codes, so that the technical effects of improving the code integration quality and improving the programming efficiency are achieved.

A navigation system comprising of a control circuit configured to: determine a free text query for representing a description of a query target, generate a parsing model based on a recognition pattern within a map, determine a concentric region within the map based on a user location, apply the parsing model based on the concentric region, generate a match based on the parsing model; and a communication circuit, coupled to the control circuit, configured to communicate the match for displaying on a device.