• Title/Summary/Keyword: Cultural Big Data

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Innovation and Challenges of Urban Creative Products in Digital Media Art - Tourist cities in China for example

  • Ma Xiaoyu;Lee Jaewoo
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.175-181
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    • 2024
  • The paper examines the impact of digital media art on urban creative products, analyzing opportunities and challenges in the digital era. It emphasizes the development of urban cultural and creative products, highlighting their significance and future growth potential. The digital media era provides unprecedented innovation opportunities, utilizing advanced tools for efficient design, production, and marketing. Trends like personalization, customization, AI, and big data offer new expressions and market prospects. Cultural products evolve in design, marketing, and sales channels due to digital media, with tools like social media and e-commerce platforms opening new promotion avenues. Case studies illustrate digital media's role in driving innovation and enhancing user experiences. The paper addresses challenges in market competition, copyright, and technological renewal, while recognizing opportunities from AI and big data. The creative industries must adapt and innovate to remain relevant. Looking ahead, urban creative products will evolve under digitalization, relying on digital means to attract consumers and enhance brand value. Cultural products, beyond economic entities, disseminate urban culture and creative spirit. In the digital era, urban creative products demonstrate potential and necessity, prompting a reevaluation of digital technology's role. Through continuous innovation, this field contributes to cultural and economic levels, impacting urban characteristics and heritage. Urban creative products play an increasingly vital role in the global cultural and creative economy.

The scientific conservation treatment of sword with projecting hilt excavated the III-1 tomb of Myungri, Gysungmyun, Changyunggun (철제구갑문은입사규두대도의 보존처리-창녕군 계성면 명리 고분 출토)

  • Wi, Goang-Cheol
    • 보존과학연구
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    • s.20
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    • pp.65-80
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    • 1999
  • The conservation treatment process of sword is below. First, examples written inlay with tortoise-shell design is a big sword with round head excavated Namwon Wolsanri in Korea, big swordsexcavated the Sungchong Ⅱ tomb of Naranghyun, the Moksun Ⅰ tomb of Ejihyun, the Jangjonsan Ⅰ tomb of Dogunhyung in Japan. The period of inlay artifacts are known to about 6c. Therefore, sword is infer to beexcavated to 6c.Second, inlay artifacts excavated the domestic at present were known to 19-pieces. But sword is a big sword inlaid with silver to projecting hilt. This artifact is very important to scholarship data because of be first excavated to the domestic

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Growth Conditions and Maintenance of Natural Monument Old Big Trees in Gangwondo (강원도 내 천연기념물 노거수의 생육환경 및 관리현황)

  • Heo, Bok Soo;Kim, Hyo Jeong;Lee, Won Ho;Kang, Hee Jin
    • Korean Journal of Heritage: History & Science
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    • v.44 no.1
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    • pp.182-195
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    • 2011
  • Old big tree transcends the simple meaning of trees as they are the natural monuments that embody the people's history and culture of this land. The Cultural Heritage Administration of Korea (CHA) defines and protects old big tree based not only on the size of the tree but also on its definitive cultural and natural factors such as value, implications, and originality. This research aims to identify and analyze the habitation and measurements, the soil conditions, as well as the protective facilities of 14 old big tree spread throughout the Gangwondo. The research examined the soundness of the arboreal form, the degree of damage on the bark, as well as the quantity of leafs levels to evaluate the overall condition of growth and development. Then, the tree height, the eastwest and south-north width of the crown, the sternum circumference, and the root circumference were recorded to identify the measurements of the selected old big tree. Also, the research analyzed 9 elements such as soil texture, pH levels, and organic contents in order to determine the scientific characteristics of soil upon which the trees draw nutrition. Finally, the research evaluated supporting pillars, lightning rods, iron pulling-facilities, as well as notice boards to study the protective facilities of old big tree. The research procedures revealed that 78.57% of the old big tree identified as natural monuments in the Gangwondo have average to above average habitation conditions. Also, the average tree height reaches 18.80m above ground while the average root circumference measures 7.34m. Moreover, the results of the scientific analyses conducted on the soil elements determined that most chemical values were within the defined levels, with the exception of phosphoric acid levels falling within the hyper-nutritious range. Finally, although most of the protective facilities did support the habitation of the Old big tree, there were some supporting pillars and iron pulling-facilities that actually damaged the trees. This research means to provide foundational reference data for the analysis of the habitation and management conditions of natural monument old big tree within the Gangwondo. A follow-up topic led by the results of this research is the identification and analysis of correlating environmental elements that affect the habitation of the old big tree.

Study of Policy on Seowon's Preservation·Support : Focusing on Big Data Analysis on Laws (한국 서원의 보존·지원 정책에 관한 연구 : 법률에 대한 빅데이터 분석을 중심으로)

  • Bang, Mee Young
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.875-883
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    • 2023
  • In Korea, the number of preservation and management entities to connect the traditional cultural heritage to next generations is rapidly decreasing. Building an infrastructure to pass on traditional cultural heritage to the next generation and to pay attention to the preservation and management of the next generation is important including the 'Seowon', a World Cultural Heritage listed by UNESCO. This study is based on the laws that regulates the preservation and support of traditional cultural assets and 'Seowon, through Big Data analysis techniques. The main keywords in each law were extracted, schematized, and a mutual Word Network was constructed and policy advice was derived. As policy advice, it is necessary to establish and implement policies to nurture and support businesses specialized in the region for the preservation·utilization, preservation·management and preservation·support of Seowons.

Research Trend Analysis for Sustainable QR code use - Focus on Big Data Analysis

  • Lee, Eunji;Jang, Jikyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3221-3242
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    • 2021
  • The purpose of the study is to examine the current study trend of 'QR code' and suggest a direction for the future study of big data analysis: (1) Background: study trend of 'QR code' and analysis of the text by subject field and year; (2) Methodology: data scraping and collection, EXCEL summary, and preprocess and big data analysis by R x 64 4.0.2 program package; (3) the findings: first, the trend showed a continuous increase in 'QR code' studies in general and the findings were applied in various fields. Second, the analysis of frequent keywords showed somewhat different results by subject field and year, but the overall results were similar. Third, the visualization of the frequent keywords also showed similar results as that of frequent keyword analysis; and (4) the conclusions: in general, 'QR code' studies are used in various fields, and the trend is likely to increase in the future as well. And the findings of this study are a reflection that 'QR code' is an aspect of our social and cultural phenomena, so that it is necessary to think that 'QR code' is a tool and an application of information. An expansion of the scope of the analysis is expected to show us more meaningful indications on 'QR code' study trends and development potential.

Analyzing Factors of Success of Film Using Big Data : Focusing on the SNS Utilization Index and Topic Keywords of the Film (빅데이터를 활용한 영화흥행 요인 분석: 영화 <기생충>의 SNS 활용지수와 토픽키워드 중심으로)

  • Kim, Jin-Wook
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.4
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    • pp.145-153
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    • 2020
  • In the rapidly changing era of the fourth industry, big data is being used in various fields. In recent years, the use of big data has been rapidly applied to overall cultural and artistic contents, and among them, the use of big data is essential as a film genre with a lot of capital. This research method is analyzed as the film , which won the Palme d'Or Prize of the 72nd Cannes Film Festival in 2019 and the works and directors' award at the Academy Awards. The analyzed value predicts the film's performance through opinion mining, which gives the value of the change and sensitivity of each data cycle, and extracts the utilization index and topic keywords of SNS such as Facebook and Twitter to reflect the audience's interest. Identify the factors. As such, if model performance and model development can be predicted through model analysis of film performance using big data, the efficiency of the film production process will be maximized while the risk of production cost and the risk of film failure will be minimized.

A Recognition and Application Plan of Placenta Chamber of King Sejong's Princes by Big Data Analytical Technique (빅데이터 분석기법을 통한 성주(星州) 세종대왕자태실(世宗大王子胎室)의 인식 및 활용방안)

  • Lim, Jin-Kang;Park, Ji-Hwan
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.36 no.1
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    • pp.78-88
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    • 2018
  • The purpose of this study is to establish a utilization plan according to the cultural value of Placenta Chamber of King Sejong's Princes. We used SNS to analyze various public perceptions and opinions, collected data and analyzed it. The collection period is from June 01, 2007 to June 30, 2017 (for about 10 years), We gathered data from blogs, cafes, and Knowledge IN that contain keywords related to 'Placenta Chamber', 'Placenta Chamber of Seongju', 'Placenta Chamber of King Sejong's Princes'. and Analyzed using the text mining method of the big date program. Based on the main results of the big data analysis, Placenta Chamber's method of utilization was derived. As a result, major keywords such as King Sejong Great, Prince, Sungju, Feng Shui, culture, preservation, blessing etc were derived. The association of 'world', 'heritage', 'cultural heritage' is high, and the connection of 'Placenta Chamber', 'Gyeongsangbuk-do', 'cultural property' is high, and it was able to confirm the value of Placenta Chamber as a world cultural heritage. and It is necessary to induce visitors to feel stimulation or change of surroundings through facility refurbishment and environmental improvement around Placenta Chamber.

Big Data using Artificial Intelligence CNN on Unstructured Financial Data (비정형 금융 데이터에 관한 인공지능 CNN 활용 빅데이터 연구)

  • Ko, Young-Bong;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.232-234
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    • 2022
  • Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

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Offshore Outsourcing Success : An Integrated Framework

  • Kim, Jin Ki
    • Journal of Information Technology Applications and Management
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    • v.24 no.4
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    • pp.153-170
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    • 2017
  • As the digital economy goes global, firms are trying to find suppliers that can address their managerial goals and strategies. The alternatives are not confined to domestic firms. Firms have been trying to connect to foreign partners worldwide. Although offshore outsourcing grants firms various benefits, they present big cultural challenges. However, there is little research on the impact of cultural or country factors on outsourcing. The goal of this paper is to synthesize the outsourcing success literature and develop propositions for outsourcing success in the context of offshore outsourcing. This paper proposes that cultural effects should be included in evaluating the success of offshore outsourcing. Knowledge sharing and the scope of outsourcing are adopted in the base outsourcing success model from previous literature. In the extended model partnership quality is included as a mediator and organizational capability and outsourcing relationship type are also included as moderator. Finally, the integrated framework of offshore outsourcing success includes cultural factors as moderators of the relationships between outsourcing success antecedents and the success of offshore outsourcing. Reasoning for propositions, managerial implications, and future research directions are discussed.

Awareness, attitude, and behavior of global and Korean consumers towards vegan fashion consumption - A social big data analysis -

  • Yeong-Hyeon Choi;Sungchan Yeom
    • The Research Journal of the Costume Culture
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    • v.32 no.1
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    • pp.38-57
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    • 2024
  • This study utilizes social big data to investigate the factors influencing the awareness, attitude, and behavior toward vegan fashion consumption among global and Korean consumers. Social media posts containing the keyword "vegan fashion" were gathered, and meaningful discourse patterns were identified using semantic network analysis and sentiment analysis. The study revealed that diverse factors guide the purchase of vegan fashion products within global consumer groups, while among Korean consumers, the predominant discourse involved the concepts of veganism and ethics, indicating a heightened awareness of vegan fashion. The research then delved into the factors underpinning awareness (comprehension of animal exploitation, environmental concerns, and alternative materials), attitudes (both positive and negative), and behaviors (exploration, rejection, advocacy, purchase decisions, recommendations, utilization, and disposal). Global consumers placed great significance on product-related information, whereas Korean consumers prioritized ethical integrity and reasonable pricing. In addition, environmental issues stemming from synthetic fibers emerged as a significant factor influencing the awareness, attitude, and behavior regarding vegan fashion consumption. Further, this study confirmed the potential presence of cultural disparities influencing overall awareness, attitude, and behavior concerning the acceptance of vegan fashion, and offers insights into vegan fashion marketing strategies tailored to specific cultures, aiming to provide vegan fashion companies and brands with a deeper understanding of their consumer base.