Abstract: Provided are a method and mobile terminal for performing a personalized search, capable of providing search results optimized for a user in consideration of location and user preference. The method includes acquiring a question keyword from a user and information about the location of a mobile terminal, making a local search on the basis of the question keyword and the location information to generate local search results, displaying the local search results and storing a use record of the user of the mobile terminal corresponding to the displayed local search results, generating a user preference analysis model using the location information and the use record, then applying the generated user preference analysis model to the local search results, and deducing personalized final local search results from the local search results. Thus, it is possible to provide the local search results optimized for the user.

Abstract: In a method for providing multimedia services in a communication system, a request message for requesting contract information on users' multimedia services are received from a terminal according to service requests of the multimedia services to be received by the users. A query message for searching for the contract information in a database is generated corresponding to the request message, and the query message is transmitted to the database. The contract information is searched in the database through a Moving Picture Experts Group (MPEG) query format protocol based on the query message, and a query result message containing the contract information is received from the database in response to the query message. The contract information is acknowledged in the query result message, and a response message containing the contract information is generated. Then, the response message is transmitted to the terminal.

Abstract: Provided are an apparatus and method for post-processing a dialogue error in a speech dialogue system using multilevel verification, in which both of a user's current utterance and a whole dialogue flow are taken into account through the multilevel verification including speech recognition results analysis, linguistic analysis, discourse analysis and dialogue analysis. As a result, various errors that may occur in the speech dialogue system are detected, and error post-processing appropriate to a detected error type is performed, so that speech recognition errors may be reduced.

Abstract: The present invention relates generally to a voice-based mobile search apparatus and method, and, more particularly, to a voice-based mobile search apparatus and method, which can present optimized search results suitable for a mobile status while allowing a user to conveniently use a search service in a mobile environment. The voice-based mobile search apparatus according to the present invention includes a voice recognition unit for recognizing a user's voice transferred through a mobile terminal and then receiving a query. A status information collection unit collects status information of the mobile terminal and profile information of the user. An answer search unit searches a knowledge base based on the query, and extracts short answers matching the query. An answer provision unit processes the short answers in conformity with the status information of the mobile terminal and the profile information of the user, and provides the processed short answers.

Abstract: A method of automatically creating allomorphs of a keyword, includes creating allomorph candidates of a search keyword using a user log and/or user session information when the search keyword is input; and extracting a related word for verification from a web document using a related word patter from to verify the allomorph candidates. Further, the method of automatically creating allomorphs of a keyword includes removing over-created and/or erroneous candidates from the allomorph candidates using the extracted related word for verification and creating allomorphs of the search keyword.

Abstract: A system and method for constructing a named entity dictionary are disclosed. The method includes analyzing a structure of collected Web text, extracting tabulated or listed information from the Web text, extracting a named entity from the tabulated or listed information, categorizing the extracted named entity, and registering the categorized named entity in a named entity dictionary.

Abstract: A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

Abstract: Provides is an apparatus for question answering based on answer trustworthiness including: an answer indexer that indexes documents of which document trustworthiness satisfying a threshold value among documents included in a document collection and stores it in a knowledge Bases; an answer candidate extractor that extracts answer candidate documents for a user's question from the knowledge Bases; an answer source trustworthiness measurement unit; an answer extraction strategy trustworthiness measurement unit; and a trustworthiness integrator that generates an answer candidate trustworthiness list by ranking the answer candidate documents on the basis of the document trustworthiness, the source trustworthiness, and the extraction strategy trustworthiness of the answer candidate documents.

Abstract: A method of providing targeted advertisements, includes: generating an advertisement search result using a search query based on a user query or a recommended query; generating an advertisement search result on the basis of a user profile; integrating the advertisement search result generated on the basis of the user profile with the advertisement search result generated by using the search query; and presenting a recommended advertisement list on the basis of the integrated advertisement search result and advertisement information exposed to a user.

Abstract: A topic map based indexing apparatus analyzes community Q/A lists to acquire Q/A analysis information, removes redundant answers depending on the Q/A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q/A topic map, index information containing the community Q/A lists and the Q/A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q/A lists belonging to a specific topic node of a pre-stored community Q/A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer.

Abstract: The invention provides an apparatus and method for selecting an online advertisement. An apparatus for selecting an online advertisement based on contents sentiment and intention analysis includes a context analysis unit for analyzing a context of contents, a context matching advertisement recommendation unit for selecting an advertisement matching with the context of the contents from an advertisement database (DB) based on the result of the analyzed context, an sentiment information analysis unit for analyzing an sentiment object and sentiment information variously described in the contents based on the result of the analyzed context, an intention recognition unit for recognizing a writing intention of the contents, and an advertisement selection unit for excluding the selected advertisement for the contents or selecting an alternative advertisement depending on the result of the analyzed context, the result of the analyzed sentiment object and sentiment information and the recognized writing intention.

Abstract: A personalized search apparatus includes: a model generating unit for generating a user favorites analysis model based on directory grouping information about directories stored in a user terminal and user behavior information; and a user favorites analysis model DB for storing the generated user favorites analysis model. Further, the personalized search apparatus includes a search engine for searching for a file relevant to an input query using an information search engine installed in the user terminal to generate search results; and a personalized search engine for re-ranking the search results generated by the search engine based on the user favorites analysis model to generate personalized search results.

Abstract: An electronic document processing apparatus includes: a document set storage unit storing hash tables including hash values of documents to be processed; a content extraction unit for extracting body contents from a newly input electronic document; and a sentence separation unit for separating sentences from the extracted body contents. The apparatus further includes a duplicate document determination unit for converting the separated sentences into unique hash values by a hash algorithm, determining each of the separated checking if there is a duplicate sentence depending on whether or not there is a collision between the converted hash values and the hash values in the hash tables of the document set storage unit, and determining if the electronic document is a duplicate document based on the ratio of duplicate sentences to all of the sentences in the electronic document.

Abstract: An apparatus for verifying training data using machine learning includes: a training data separation unit for separating provided initial training data into N training data and N verification data, where N is a natural number; a machine learning unit for performing machine learning on the separated training data to generate a training model; an automatic tagging unit for automatically tagging an original text of the verification data using the generated training model to provide automatic tagging results; and an error determination unit for comparing the verification data to the automatic tagging results to determine error candidates of the training data.

Abstract: An apparatus and method for efficiently constructing learning data required in statistical methodology used in information retrieval, information extraction, translation, natural language processing, etc. are provided. The method includes the steps of: generating learning models by performing machine learning with respect to learning data; attaching tags to a raw corpus automatically by using the generated learning models to thereby generate learning data candidates; calculating confidence scores of the generated learning data candidates, and then selecting a learning data candidate using the confidence scores; and allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally.

Abstract: A method for social tagging using a property field of an ontology object includes: selecting an object in an ontology database storing therein objects in forms of classes; selecting a property field in a class corresponding to the selected object; and adding a social tag by storing user's input as a value of the selected property field. Classes stored in the ontology database may have property fields defined when instances of the classes are created, and specific values may be stored as values of the property fields also when the instances are created. The property fields defined when the instances are created are classified into data type property fields and object type property field, and the selected property field is a data type property field.

Abstract: Provided are an apparatus and method for post-processing a dialogue error in a speech dialogue system using multilevel verification, in which both of a user's current utterance and a whole dialogue flow are taken into account through the multilevel verification including speech recognition results analysis, linguistic analysis, discourse analysis and dialogue analysis. As a result, various errors that may occur in the speech dialogue system are detected, and error post-processing appropriate to a detected error type is performed, so that speech recognition errors may be reduced.

Abstract: Provided are a method and apparatus for providing information according to a user's request, and more particularly, an interactive information providing service method and apparatus for analyzing a user's request and providing information corresponding to the request on the basis of a dialog input received from the user.