• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.1-13
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• 2009

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele's method in terms of accuracy.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.261-278
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• 2009

Identifying optimal feature sets in Text Categorization(TC) is crucial in terms of improving the effectiveness. In this study, experiments on feature expansion were conducted using author provided keyword sets and article titles from typical scientific journal articles. The tool used for expanding feature sets is WordNet, a lexical database for English words. Given a data set and a lexical tool, this study presented that feature expansion with synonymous relationship was significantly effective on improving the results of TC. The experiment results pointed out that when expanding feature sets with synonyms using on classifier names, the effectiveness of TC was considerably improved regardless of word sense disambiguation.

• KIISE Transactions on Computing Practices
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• v.22 no.6
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• pp.290-295
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• 2016

Recently, folksonomy-based image-sharing sites where users cooperatively make and utilize tags of image annotation have been gaining popularity. Typically, these sites retrieve images for a user request using simple text-based matching and display retrieved images in the form of photo stream. However, these tags are personal and subjective and images are not categorized, which results in poor retrieval accuracy and low user satisfaction. In this paper, we propose a categorization scheme for folksonomy images which can improve the retrieval accuracy in the tag-based image retrieval systems. Consequently, images are classified by the semantic similarity using text-information and image-information generated on the folksonomy. To evaluate the performance of our proposed scheme, we collect folksonomy images and categorize them using text features and image features. And then, we compare its retrieval accuracy with that of existing systems.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.77-84
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• 2004

This study proposed the agent system for educational information sharing using bookmark. In order to search and share the educational information effectively, we designed DAML+OIL-typed bookmark information. Proposed system in this study had the P2P type based on Client-Server type. We implemented the bookmark agent that has the intelligent characteristics, that is, automatic categorization of peers and documents, autonomous communication between agents using DAML, and delicate information searching using the ontology dictionary in Semantic Web environment. Hereafter, this study will contribute to activate sharing and searching educational information as well as proposed system will offer the important technologies for SCORM-based e-learning environment.

• Annual Conference on Human and Language Technology
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• 1999.10e
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• pp.351-358
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• 1999

Two experiments were conducted to investigate effects of word-frequency on semantic processing of Hangul. Stimuli were two syllable words, and exemplars and target words were different in the final consonant of the second syllable in the Exp 1 and in the final consonant of the first syllable in the Exp2. Exp 1 shows the results that subjects made more errors on low frequency target words and took longer times on high frequency exemplars than on controls. In Exp 2 subjects took longer times on high frequency examplar-low frequency target word conditions than on controls. These results support the predictions of dual process models and suggest that the use of phonological and visual information depends on word frequency. Phonological activation appears to be an optional rather than obligatory process.

• English Language & Literature Teaching
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• v.8 no.2
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• pp.131-150
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• 2003

The purpose of this paper is to provide two levels of conceptualization of a category such as an absolute category in semantic level and a relative category in pragmatic level on the basis of Aristotelian category theory and prototype category theory. I do not intend to criticize classical category theory and prototype category theory but to show that these two types of category are applied to the different world. Aristotelian categorization is an absolute category because it is based on the possible world called the meta-world and it has an absolute truth value. The members of an absolute category is presented as a set. There is a clear boundary between members and non-members because they are distinguished by the absolute criteria An absolute category is semantic conceptualization. This absolute category is changed into a relative category when it is applied in the real world. A relative category which corresponds to a prototype category is based on the real world called the object world and it has a relative truth value. Here individuals are categorized by the cognition and perception of human beings. A relative category is pragmatic conceptualization. In conclusion, while classical categories which are called absolute categories represent sentence meaning, prototype categories which are called relative categories represent utterance meaning.

• ETRI Journal
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• v.30 no.3
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• pp.432-440
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• 2008

In this paper, a user-friendly mobile photo album system and albuming functions to support it are introduced. Stand-alone implementation in a mobile device is considered. The main idea of user-friendly photo browsing for albuming functions is to enable users to organize and browse their photos along semantically meaningful axes of events, personal identities, and categories. Experimental results demonstrate that the proposed method would be sufficiently useful and efficient for browsing personal photos in mobile environment.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.6
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• pp.1017-1026
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• 1995

The purpose of the study was to 1) extend the cognitive categorization theory in an attempt to explain the effect of garment formality, Yin-Yang, and body type of children on impression formation, and 2) to understand teacher's attitudes toward children's school outfits. The experimental design was a $2^3$_full factorial design by 3 independent variables. The stimuli consisted of 8 color photographs and the semantic differential response scale was used to analyze the responses of 267 teachers of elementary school. The data were analyzed by factor analysis, ANOVA, Duncan' test and content analysis. Four factors emerged to account for dimensions of first impressions. These were sociability, potency, dynamics, and cooperation. Garment formality effected on impression of cooperation dimension. Garment Yin-Yang and children's body type effected on impression of social and dynamics dimensions.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.154-169
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• 1999

In many fields, Kansei engineering, often called Human Sensibility Ergonomics, has been applied to the product development for customer's satisfaction. Also, it may use to a lot of products and environments related to human's convenient life. If the measurement and the validation of human sensibility are accomplished subjectively and qualitatively, then a good design is expected. This paper considers an application of one of the Kansei engineering's techniques, extraction and categorization of the sensory words, to the products of mobile telecommunication units. First, 1st sensory words were extracted from Korean dictionary, catalogues, pamphlets, etc. Second, 2nd sensory words were extracted from the questionnaires, elimination of synonym, advise of expert, etc. Third, final sensory words were extracted from questionnaires, etc. Fourth, ask to answer the questionnaires with the extracted words in the five-grade semantic differential. Finally, The factor analysis is used to categorize the extracted sensory words, and shows that the words can be grouped into some categories.

• English Language & Literature Teaching
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• no.4
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• pp.179-206
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• 1998

Despite the fact that the phenomenal success of the classical model in phonology in terms of a small set of binary atomic primitives has encouraged the use of criterical features in the characterization of syntactic and semantic categories, cognitive linguists have recently found many evidences against it and proposed a valid alternative like prototype approach to classical model of linguistic categorization. In this paper the examples with prototype effects are shown in phonology, morphology, and syntax. In phonology there is no clear-cut borderline in initial sounds such as / r, m, n, v, ${\eth}$, z, w. j, b. d, g / and between vowels and consonants. In morphology family resemblance is shown between strong verbs and past tenses. In syntax there is no borderline among various kinds of sentences such as declarative, command, WH-question, yes-no question, etc.