• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Cartoon and Animation Studies
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• s.40
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• pp.521-549
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• 2015

We recognize all objects by seeing. However, we are not sure that the things we see through our eyes are their essence. Here comes my question: What does it mean that humans see and recognize things? The things we see are images and so I consider recognizing an object as semiosis via our visual sensation and brain. That is because objects are defined not by their essence but as symbols we recognize. In the era of post-modernism art is a voluntary creative activity that creates a kind of spiritual value and plays an important role for appreciators who realize the fact to enjoy the life value. This paper focused on the art putting aesthetic value on humans' recognition and explored works of art in a visually perceptible way through semiosis. That is because art, an act of creating things, is symbolic and closely linked to semiotic system. Furthermore, derivative visual signs can be considered to be in line with the viewers' visual perception. If we interpreted by recognizing the works of art along with symbol, we can enjoy the works in depth through recognizing their color or shape. Therefore, I intended to discourse on color perception focusing on colors in order to analyze the relationship between art and symbol in the process of recognizing works of art. This paper looked into background of color recognition, status of colors and ways of expression for impressionist who painted with various colors and examined colors as a sensory language. In the process of interpreting art works by communication between the artist and viewers, the role of color is considered as visual symbol through the artist's experience, consciousness, emotions, and their senses. It can be interpreted the visual language through signification of the symbols when the colors are formed in works of art as a recognizable space. Therefore we expect to study in the Visual arts to be the colors symbolic analysis is extended to more effective communication tool.