摘要:
Disclosed are a method and an apparatus for mobile intelligent advertizing service based on mobile user contextual matching. An apparatus for mobile intelligent advertizing service based on mobile user contexts includes: a contextual information collecting unit collecting user contextual information under a mobile environment; a contextual information analyzing unit analyzing the collected contextual information and classifying and storing the analyzed contextual information for each category; a contextual information modeling unit comparing and mapping the analyzed contextual information with a previously built-up contextual information database to formalize the compared and mapped contextual information and generalizing the formalized contextual information by using a wired/wireless communication network; a user action analyzing unit analyzing a user's action on the basis of the modeled contextual information and predicting the user's next action; and an advertisement contents recommending unit recommending advertisement contents suitable for the predicted user's next action.
摘要:
Disclosed are a system for providing a broadcast service and a method for providing a broadcast service. An example of the method for providing a broadcast service includes receiving a broadcast signal including broadcast contents and side information to provide the broadcast contents; reading out at least one of objects from question data that is input regarding the broadcast contents and primarily analyzing the read-out object to read out a subject of the question data; searching a social media site and collecting social media data relating to the subject from the searched social media site; secondarily analyzing the social media data and the side information in the broadcast signal on the basis of the subject; and configuring answer data corresponding to the subject using the analysis result and providing the answer data, and provides information which is extended and varied in real time.
摘要:
A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.
摘要:
A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.
摘要:
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.
摘要:
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.
摘要:
A method for automatically extracting information of products, includes searching documents based on product names; and extracting sentences including advantages and disadvantages for products having the product names from the searched documents. Further, the method for automatically extracting the information of the products includes classifying the sentences by similar contents among the extracted sentences; selecting representative sentences among the classified sentences; and calculating each weight of the selected representative sentences.
摘要:
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.
摘要:
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.
摘要:
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.