1616 results about "Search words" patented technology

A system and method for searching information from a database using a natural language. In one embodiment, the system analyzes a natural language search request and converts the search request into one or more search words. The search words are further converted into a string of bytes, and a subset of a target database, referred to as the datasoup, is searched. If there is a match between the bytes and raw data in the datasoup, the searched data is retrieved from the target database. The searched data is then formatted and provided to a user. Optionally, the searched data can be provided to the user unformatted. In another embodiment, the system includes a system server configured to receive a natural language search request, a core engine coupled to the system server and to the target database, and a system database coupled to the core engine, where the core engine accesses the system database to analyze the search request. The system database stores global rules, one or more preference files, and one or more dictionaries, and the preference file stores information about the user.

This invention allows keyword searches in both structured and unstructured databases, and across multiple databases of different vendors. An index database is created comprising word occurrences and table relationship information. In the case of unstructured databases with no predetermined schema, the relationship between different tables is derived through propagative n-level indexing and data is then populated in index tables. A database adapter enables indexing and searching across multi-vendor databases, which resolves discrepancies across different database access methodologies. Given a set of keyword inputs, the rows containing the search words and all the related rows are searched using word occurrences and relationship information.

A preferred embodiment comprises the use of search rankings referring to a data object according to different sets of key words. So a search result according to a first set of key words might have a first ranking in a search result. The same data object including such as web pages and the like might have a second ranking if a second set of search words was used. The data object might appear in search results using a plurality of sets of key words and so when using the first set, also knowing the ranking from using the second set gives more information about the data object.

Disclosed is a system and a method for automatically classifying search results. The system includes a search engine server for obtaining and providing search results with regard to a search word entered by the user, grouping the obtained search results according to meanings of the search word, and providing the grouped search results; a related word database for storing related words classified into groups according to meanings of the search word; and a group determination system for receiving search results from the search engine server, comparing the contents of the search results with the related words stored in the related word database to determine which group of the related word database the search results belong to, and storing search results at a predetermined place when the search results are not grouped.

A question answering system includes an answer candidate extraction unit, a query generation unit, a passage search unit, an answer candidate inspection unit and an answer output unit. The answer candidate extraction unit executes a search process based on an input question to extract a plurality of initial answer candidates. The query generation unit generates a query including at least two of the initial answer candidates as search words. The passage search unit executes a search process based on the query to extract a hit sentence corresponding to the query. The answer candidate inspection unit analyzes the hit sentence to inspect a relationship between the initial answer candidates and generates answer candidates to the input question on a basis of an inspection result. The answer output unit outputs the answer candidates generated by the answer candidate inspection unit.

The invention discloses a method for monitoring and displaying Internet hot spots, which comprises the following steps of: querying a microblog search engine inlet and an RSS reader to acquire recommended link information, and calculating rank values of the recommended links to determine hot links; monitoring and searching search hot words with the quickest engine rise, combining the hot words, searching associated news through the hot words, calculating the hot degree value of the associated news, and determining hot topics; and performing text similarity calculation on the headers and texts of the hot links and hot words of the hot topics and a search word list thereof, and combining the hot links with the hot topics to acquire Internet hot spot information. The technical scheme can quickly monitor the latest hot spots of the Internet, effectively establish the association among the hot key words, hot links, news, pictures, video and the like, and fully display the Internet hot spots.

A search engine for retrieving documents from a database comprising a semantic document editor that is operable to allow a user to edit an existing document by creating one or more searchable compound word that contains information contextually relevant to the contents of the document. The editor is operable to associate the one or more created compound words with the document to produce an enhanced document having the compounds words associated therewith. A database is provided for storing a plurality of enhanced documents and a semantic query editor is provided that is operable to enable a searcher to address the database of enhanced documents with a query. The query editor is operable to receive the query and convert it into one or more compound search word that contains contextually relevant information. A search module is provided that is operable to receive the searchable compound words and to locate the relevant enhanced documents that have compound words associated with the document matching the searchable compound words. An output means is provided for presenting any located documents to the searcher.

A question answering system includes a question answering unit, an analysis unit, a tree structure generation unit, a feature extraction unit, an evaluation unit and a re-ranking unit. The question answering unit executes search processing based on an input question and acquires answer candidates to the question. The analysis unit executes syntactic analysis processing or syntactic and semantic analysis processing on a passage obtained as a result of the search processing. The tree structure generation unit generates a tree structure based on an analysis result. The feature extraction unit extracts a relation between a search word applied in the search processing and each acquired answer candidate as a feature corresponding to each answer candidate from the tree structure. The evaluation unit determines an evaluation value of each answer candidate based on the feature extracted. The re-ranking unit re-ranks the answer candidates based on the evaluation values.

The application presents a question and answer recommendation method based on artificial intelligence, a question and answer recommendation device and a computer device. The question and answer recommendation method based on artificial intelligence includes steps of receiving search terms input by a user, wherein the search terms are questions; matching the search terms with questions having answers in a question and answer knowledge base; if the terms in question and answer knowledge base are not matched with the search terms completely, calculating the semantic similarity between the search terms and the questions having answers in the question and answer knowledge base; judging if the question and answer knowledge base has a question of which semantic similarity with the search terms is larger than a preset threshold value; if it does, using the answer of which semantic similarity with the search terms is more than the preset threshold value as the answer of the search term, and recommending to a user. Answer recommendation is realized according to the semantic similarity, thus the meaning transfer risk is reduced and the interference by meaningless oral expression element is reduced.

An internet search utility that combines and presents search results from disparate data sources to the user in a multi-view format. The search terms are disambiguated and a series of prioritized Views is displayed to the user in a View Mix interface. Each View includes a unique interface, processing widgets, and a unique combination of data sources. A View Picker determines, based on specific criteria, which Views are relevant and prioritizes the Views for the View Mix. As the user considers which View to select, the Pre-Caching Module conducts a background search, and preloads snapshots of top URLs for display. Selecting a particular View initiates a search per the instructions of that view. The resulting data is displayed in the View format. Views may be created by third parties or end users to reflect any particular preference thus yielding a multitude of unique views from which to consume search results.

The invention discloses a personalized meta search engine based on user interest and a method for processing search results. The search engine comprises a user registration/login unit, a meta search result collecting unit and a personalized processing unit, wherein, the personalized processing unit achieves screening of search results, personalized ordering and establishment and renewal of a user interest model through a search result preprocessing module, a personalized ordering processing module and a user interest renewing module. The method comprises the following steps: establishing and initializing a user interest model and then logging in a server; distributing search words input by users in the format of each search engine required; converting returning results collected into a unified format, removing reprocessing and personalized ordering in sequence, and submitting to the users; and catching search results clicked by users, changing interest types and weight size and renewing the user interest model data. The invention has the advantages that the inquiry coverage and accuracy are high, and the method for processing search results can be used for searching engine in Internet.

A method and a system for re-ranking an existing result set of documents. A user starts a search by entering search term(s). The search term(s) is (are) transferred to a search engine which generates a result set ranked by the search term(s). The search engine, in parallel, automatically retrieves context information from returned result set which is related to the original set of documents. The search engine presents the context information to the user and asks for a feedback. The user performs a weighting of the presented context information in a range from “important” to “non-important”. The result set is then re-ranked with the user-weighted context information to increase the “rank distance” of important and non important documents. The documents that are on top of the list (highest context-weighted ranking value) represent the desired information.

The invention discloses a user-oriented information search engine system and a method. The system comprises eight modules of a search term pushing module, a user initiating search module, a user concern updating module, a primary search module, a user interest deducing module, a user concern result word segmentation module, a search word refactoring module and a secondary search module. The method includes analyzing and pushing user selectable search words, performing user initiating search, updating user concerns, executing the primary search, deducing user interests, performing word segmentation for user concern results, refactoring the search words and executing the secondary search. Accordingly, the system has the advantages of being complete in inquiring range and high in inquiring accuracy. Besides, by means of the system, the select input and automatic sequencing of the search words can be achieved, the accuracy of following inquiring results can be improved through the interactive operation, and a flexible, convenient and intelligent interactive interface is provided for the user to execute information search.

A system and method for enhancing e-commerce using a natural language interface. The natural language interface allows the user to formulate a query in a natural language form, rather than in conventional search terms. The natural language interface provides the user with a "user friendly" interface. The natural language interface can process a query even if there is not an exact match between the user formulated search words and the content in the database. Furthermore, the natural language interface is capable of processing misspelled queries or queries having syntax errors. The method for enhancing e-commerce using a natural language interface comprises the steps of accessing a user interface provided by a service provider, entering a query using a natural language interface, the query being formed in a natural language, processing the query by the natural language interface, searching a database using the processed query, retrieving results from the database, and providing the results to the user. The system for enhancing e-commerce on the Internet comprises a user interface for receiving a query in a natural language form, a natural language interface coupled to the user interface for processing the query, a service provider coupled to the user interface for receiving the processed query, and one or more databases coupled to the user interface for storing information, wherein the system searches the databases using the processed query and provides the results to the user through the user interface.

A system and method for processing a plurality of data to identify and search words contained with the plurality of data, wherein prior knowledge of the data format is unknown, is provided. The method includes identifying words within the data, wherein indentifying includes, processing the data to identify words, prior to searching. The method also includes storing the words in a predetermined manner and searching the words, wherein searching includes searching the words responsive to at least one search term to identify match results and processing the match results to at least one of save the match results to a file and display the match results.

The invention discloses a data search method and a data search system. The data search method comprises the following steps: pre-extracting a key word list, obtaining query results corresponding to key words in the key word list through visiting an external data source server, and associatively storing the key words and the query results corresponding to the key words in a cache database; obtaining a search request with a search word sent by a client, distributing the search request to the cache database, searching the key word matched with the search word and the query result corresponding to the key word according to a preset matching rule in the cache database; and sending the query result corresponding to the key word to the client. According to the data search method and the data search system, the problem of excessively long waiting time of a user caused by application of a complex algorithm to completion of a data matching process when an information database and an index database are configured at the same time in the prior art can be solved, and the benefit of quickly searching matched data according to the preset cache database and the matching rule can be obtained.

The invention provides a search result displaying method and device. The search result displaying method includes receiving search keywords input by users; acquiring search results according to the search keywords; displaying the search results to the users, wherein the search results include combined recommendation results and recommendation reasons related to the combined recommendation results. By the search result displaying method, search efficiency of users can be improved, and reliability is improved as well.

In a search system, document terms are weighted as a function of prevalence in a data set, the documents are scored as a function of prevalence and weight of the document terms contained therein, and then independently, the documents are ranked for a given search as a function of (a) their corresponding document scores and (b) the closeness of the search terms and the document terms. The steps can all be accomplished using matrices. Subsets of the documents can be identified with various collections, and each of the collections can be assigned a matrix signature. The signatures can then be compared against terms in the search query to determine which of the subsets would be most useful for a given search.

The invention provides a method for automatically building a classified catalogue. The method comprises: searching the concept terms related to a searched word submitted by a user from the available data to achieve a concept term set related to the searched word; calculating the relevancy among the concept terms in the concept term set; according to the relevancy among the concept term, performing the classifying and clustering operations for the concept terms in the concept term set so as to achieve at least one concept term category; organizing the concept term in the concept term set according to the concept term categories to be a classified catalogue, and returning to the user. On the basis of the exiting search engine, the method can generate a classified catalogue corresponding to a searched word provided by a user, and the classified catalogue can reflect different meanings of the word searched by the user. Therefore, the method is conducive to finding the needed information more easily and rapidly.

In an information providing system 100, a virtual three-dimensional space (virtual space) is established by an information management server 40. A user of a mobile communication terminal 50 moves in the virtual space, and browses, posts, and searches message information items by manipulating an avatar representing the user. The information management server 40 manages the message information items and responds to searches requested from mobile communication terminals 50. The information management server 40 specifies an area where the number of message information items relevant to a search word specified by a user of a mobile communication terminal 50 is equal to or greater than a predetermined number. The information management server 40 outputs a guide information item for indicating a direction or route toward the specified area from the position of an avatar. Based on the guide information item, the mobile communication terminal 50 displays an image of an arrow pointing a direction or route toward the specified area as a target area.

Generation of a search query to be issued to a document search engine is supported by providing a GUI creation unit that generates a graphical user interface for supporting generation of a search query. The GUI creation unit generates a query-node creation window that is a GUI window for generating a new search word to be connected to a search query by a logical operator. The query-node creation window includes a sample-document preview area that displays a sample document, a facet list area that displays facets extracted from the sample document in list form, a query-node creation assist area to assist generation of the new search word, and a logical-operator selection icon to select a logical operator that connects the generated search word.

The addition of relative term positions, temporal positions, and segment identifiers to an inverted index allows for temporal and phrase queries of multimedia assets. Segment identifiers enable any search results to be examined in context. The system makes advantageous use of Lucene's binary payload functionality to store temporal data and segment identifiers as additional binary data for each term instance in the inverted index. The payloads are made up of three variable-length integers, which account for twelve extra bytes of metadata, which are stored for each term instance. A content database on a Master/Administrator server node provides the indexes for search into content in response to user events, returning results in JSON format. The search results may then be used to locate and present content segments to a user containing both requested search term results and the time location within the multimedia asset in which the search term(s) is found.