35 results about "Concept search" patented technology

The present invention presents embodiments of methods, systems, and computer-readable media for the retrieval, mining, filtering and visualization of information stored on a plural of computers connected to the Internet and on a local computer. Embodiments of this invention generate a conceptual search query using a description provided by a user, perform user selectable conceptual filtering of search results, concept following and link following to expand search results, search for files that may or may not contain certain information, rank concepts contained in search results or one or more files, compute relevancy rank of a file in search results, use conceptual path maps to display logic or statistical relationships among search results, monitor changes in information in a search or a file, and protect files or searches based on information contents.

The present invention presents embodiments of methods, systems, and computer-readable media for the retrieval, mining, filtering and visualization of information stored on a plural of computers connected to the Internet and on a local computer. Embodiments of this invention generate a conceptual search query using a description provided by a user, perform user selectable conceptual filtering of search results, concept following and link following to expand search results, search for files that may or may not contain certain information, rank concepts contained in search results or one or more files, compute relevancy rank of a file in search results, use conceptual path maps to display logic or statistical relationships among search results, monitor changes in information in a search or a file, and protect files or searches based on information contents.

Concept searching using a Boolean or keyword search engine. Documents are preprocessed before being passed to a search engine by identifying, on a word-by-word basis, the "word tokens" contained in the document. Once the word tokens have been extracted, each word token is referenced in a concept database that maps word tokens to concept identifiers. The concept identifiers associated with the word tokens are converted into unique non-word concept tokens and arranged into a list. The list is then inserted into the document as invisible but searchable text. The document is then transferred to the server monitored by the search engine. Search queries are preprocessed before being passed to the search engine in the same manner. The query is first broken into word tokens and the word tokens are then referenced in the concept database. All associated concept identifiers are retrieved and converted to unique concept tokens. The concept tokens are then combined into a string and sent to the search engine as an ordinary query.

The invention discloses a full text retrieval system based on natural language understanding, comprising: a database server, an information receiving judging module, a natural language processing module, a retrieving module, an indexing module, an index database and a result set processing module. The system of the invention provides two resolution strategies, that is, word classification static with semantic analysis associated with automatic segmentation and expanding inquired word static according to Hownet rule for low intelligence situation of current search engine. The deployed system converts information retrieval from current key word-based layer to knowledge (or concept)-based layer; the invention is capable of using techniques such as word classification, synonym, concept search, phrase identification, etc. with understanding and processing ability to knowledge. The search engine is provided with intelligence and humanization of information service. The user is allowed using natural language for information retrieval. The invention is capable of adding user selection behavior in interactive operation mode, so as to provide more convenient, more precise search service.

A system and method for providing search results in visually illustrative concept format is disclosed herein. Concepts relating to a query term are identified. The search results comprise a conceptual search result entry for each identified concept. Each conceptual search result entry includes at least a visual content and textual content relating to its respective identified concept. The content for a given conceptual search result entry can come from different sources.

A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many applications including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

In various embodiments, a semantic space associated with a corpus of electronically stored information (ESI) may be created and used for concept searches. Documents (and any other objects in the ESI, in general) may be represented as vectors in the semantic space. Vectors may correspond to identifiers, such as, for example, indexed terms. The semantic space for a corpus of ESI can be used in information filtering, information retrieval, indexing, and relevancy rankings.

A system and method for providing search results in visually illustrative concept format is disclosed. Concepts relating to a query term are identified. The search results comprise a conceptual search result entry for each identified concept. Each conceptual search result entry includes at least a visual content and textual content relating to its respective identified concept. The content for a given conceptual search result entry can come from different sources.

A method and apparatus are presented for using directed reasoning to provide natural language responses to questions and commands in natural language. The directed reasoning process uses concepts in the natural language sentence to identify relevant response concepts in a knowledge base, by creating a continuous chain of logic from the input concept to the response concept and limiting the creation of the logic chains to only those consistent with the context of the natural language sentence and information in the knowledge base. The invention allows the identification of relevant concepts that elude traditional concept searching based on pattern matching, while focusing computational resources on only those logic calculations relevant to the natural language sentence and knowledge base. The invention will automatically identify the relevant source documents to use and create a knowledge base during run time, without requiring preprogrammed ontologies or knowledge bases.

A textual message processing system and method are described for use in a mobile environment. A user messaging application processes at least one user textual message during a user messaging session. A semantic annotation module identifies one or more semantically salient terms in the user textual message, and annotates the user textual message with annotation terms having a low semantic distance to the semantically salient terms. A user message history stores the annotated textual messages. The semantic annotation module may further annotate the user textual message with situational meta-data characterizing the user textual message. There may be a message search module for using one or more keywords to search the user message history including the annotation terms, and identifying as a search match any annotated textual messages within a semantic distance threshold of the one or more keywords.

Systems and methods for searching data. A search for related terms is initiated of at least one data product using at least one term. A ranked list of all the terms in the matching data products is returned and the ranked list is displayed to a user. The user modifies the weight values of a search term or adds a new term to the query. The search is reinitiated using the modified weight values. Alternatively, a search for data products is initiated of at least one data product using at least one term. A ranked list of all data products and significant terms in those products is returned and the ranked list is displayed to a user. The user modifies the weight values of a search term or adds a new term to the query. The search is reinitiated using the modified weight values.

A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

To improve traditional keyword based search engines, the present inventors devised, among other things, systems, methods, and software that use word co-occurrence probabilities not only to identify documents conceptually related to user queries, but also to score and rank search results. One exemplary system combines inverse-document-frequency searching with concept searching based on word co-occurrence probabilities to facilitate finding of documents that would otherwise go unfound using a given query. The exemplary system also allows ranking of search results based both on both keyword matching and concept presence, promoting more efficient organization and review of search results.

A system and method for providing paid content relating to search results in visually illustrative concept format is disclosed herein. Concepts relating to a query term are identified. The search results comprise a conceptual search result entry for each identified concept. Each conceptual search result entry includes at least a visual content and a paid content relating to its respective identified concept. The content for a given conceptual search result entry can come from different sources.

The present disclosure provides a method, an electronic device, and a user interface for searching a plurality of relevant via active searching. At first, a query image having a first subject and a second subject may be obtained from stored images. Next, a query concept based on content information of the query image may be learned by sampling first sample images from the stored images according to content information of the query image for relevance feedback. Then, the query concept is refined based on context information of the first selected images among the first sample images. Based on the refined query concept, relevant images among the stored images may be searched according to the query concept and grouped into a collection album.

A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many application including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

The present invention extends to methods, systems, and computer program products for automatically visually presenting information relevant to an utterance. Natural language expressions from conversation participants are received and processed to determine a topic and concepts, a search finds relevant information and it is visually displayed to an assisted user. Applications can include video conferencing, wearable devices, augmented reality, and heads-up vehicle displays. Topics, concepts, and information search results are analyzed for relevance and non-repetition. Relevance can depend on a user profile, conversation history, and environmental information. Further information can be requested through non-verbal modes. Searched and displayed information can be in languages other than that spoken in the conversation. Many-party conversations can be processed.

An educational game apparatus and method for playing a game is disclosed. Each game disclosed herein comprises a plurality of teaching concepts that compete against each other, such that no individual game participant wins or loses. There are two categories of games disclosed herein: (i) board games; and (ii) concept searching games. The board games category comprises two sub-categories: (a) forward-backward-forward games, and (b) continuous play games. The concept searching games category comprises three sub-categories: (a) word searching games, (b) number searching games, and (c) answer searching games. A method for playing each category of games is also disclosed.

A system and method for fast concept search in multiple documents where the concept is expressed by plurality of words, all of which have to be in the same sentence and within specified range. The system automatically finds equivalent expressions of the same concept, and returns as search results all documents in which the concept is contained.

An electronic document processing apparatus and an electronic document processing method are provided that can perform a sophisticated search such as concept search with a high precision even on images including decorated text strings. Text strings are extracted from an electronic document containing layout information, and a baseline of the extracted text string is detected. Subsequently, a line segment A extending forward from the baseline and a line segment B of a different type from the line segment A extending backward from the baseline are provided. It is determined, for different text strings, that the different text strings are concatenated if the line segments A and B, which are provided for the different text string, overlap with each other.

The invention discloses a full text retrieval system based on natural language understanding, comprising: a database server, an information receiving judging module, a natural language processing module, a retrieving module, an indexing module, an index database and a result set processing module. The system of the invention provides two resolution strategies, that is, word classification static with semantic analysis associated with automatic segmentation and expanding inquired word static according to Hownet rule for low intelligence situation of current search engine. The deployed system converts information retrieval from current key word-based layer to knowledge (or concept)-based layer; the invention is capable of using techniques such as word classification, synonym, concept search,phrase identification, etc. with understanding and processing ability to knowledge. The search engine is provided with intelligence and humanization of information service. The user is allowed usingnatural language for information retrieval. The invention is capable of adding user selection behavior in interactive operation mode, so as to provide more convenient, more precise search service.

The invention discloses a high-intelligent search engine capable of conducting inspiration thinking and intuitive thinking, and relates to the field of artificial intelligence and search engines. The search engine is jointly composed of an inspiration search, an intuitive search and automatic abstracting generation conceptual information and three-type information. According to the method, the search engine can be taught to be like the human brain to conduct problem solving and knowledge discovery activities in the mode of the inspiration thinking and the intuitive thinking. The method comprises the steps of setting up a conceptual database through an automatic abstracting method and an artificial editing method, then inputting the three-type information, using a concept search method for stimulating the intuitive thinking, and conducting the knowledge discovery; setting up a three-type information database through the artificial editing method, the automatic abstracting method and a knowledge discovery method, then inputting a problem, using a keyword search method for stimulating the inspiration thinking, searching out the answer, and solving the problem. An intuitive search (an intuitive machine) is mainly used for the knowledge discovery, and an inspiration search (an inspiration machine) is mainly used for solving the technical invention and problems.

The invention discloses a case data search method, system and device and a storage medium. The method mainly comprises the steps of determining a corresponding search mode according to a condition ofdisassembling to-be-searched case data according to medical semantics; selecting a logic operator and a comparison operator according to semantic logic; and forming a logic expression by utilizing thelogic operator and the comparison operator, and searching for the to-be-searched medical record data through the logic expression to obtain a medical record meeting the expectation. According to themethod, a combined search mode of concept search and field search is utilized, the problems that an existing method is single in search granularity and low in search precision and cannot truly restoremedical semantics can be effectively solved, and accurate search results are obtained; and in another aspect, the multi-level comparison operator and the logic operator are combined for use, and a visual graphical interface is matched, so that a flexible and changeable logic expression can be easily presented, the problem of inaccurate search setting caused by complex configuration of logic combination is avoided, and the accuracy of case data search is further improved.

Machine learning systems and methods for interactive concept searching using attention scoring are provided. The system receives textual data. The system identifies one or more word representations of the textual data. The system further receives a concept. The system determines a score indicative of a likelihood of each of the one or more word representations being representative of the concept using an attention scoring process having a temperature variable. The system generates a dataset for training and evaluation based at least in part on the score. The dataset includes the one or more word representations and concept. The system further processes the dataset to train one or more deep active learning models capable of the interactive concept search.