Abstract: Provided are a context-aware computing apparatus and a method of determining a topic word in a document using the same. The context-aware computing apparatus includes a memory configured to store information including a word graph in which semantic relationships among words are recorded in a network form, and a processor connected to the memory. The processor extracts content words from an acquired document by analyzing the document, clusters, in the word graph, word associations lying within a certain semantic distance from the position of each content word in the word graph, determines a centroid vector, which is a semantic center, for the content words and the word associations, determines topic words in order of increasing semantic distance from the determined centroid vector among the content words and the word associations, and provides the determined topic words.

Abstract: Disclosed are personality testing device and method. A personality testing device, according to an embodiment of the present invention, comprises: an input and output unit for providing test questions which comprise a stimulation word and obtaining a response word which is a response received from a person to be tested with respect to the stimulation word; and a control unit for forming the test questions by extracting a stimulation word from a word graph that is classified by personality types and for distinguishing the personality type of the person to be tested by analyzing the response word by means of the word graph.

Abstract: Method and system for managing a wordgraph is provided. The present invention include a method and a system for managing a word graph, wherein the method includes receiving, by a management server, a result of vocabulary level test from a client device, extracting a correct answer rate or an incorrect answer rate for each word pair by analyzing the received result of vocabulary level test, calculating a meaning distance of word pair in response to the extracted correct answer rate or incorrect answer rate, and updating a pre-stored word graph, or generating a new word graph using the calculated meaning distance.

Abstract: The present invention relates to a content recommendation method in which pieces of information collected over an IP Multimedia Subsystem (IMS) network are analyzed through data mining, a semantic pattern is identified from the information and described based on ontology, the characteristics of content to be offered are recorded in ontology and language morphological pattern, and a recommendation filter in terms of various viewpoints and methods is operated in an integrated recommendation framework, thus enabling content recommendation suitable for various contexts to be performed.