• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.51-55
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• 2017

LINE, an instant message App with a powerful capability of transmitting various forms of data, has been overwhelmed in Asia since launched in 2011. Due to its popularity, LINE was first used in the 2016 Taiwanese presidential election. This research utilized a functional approach of campaign communication discourse and political visual images to analyze how candidates managed and presented themselves by textual and visual information on LINE. Regarding the textual information, results revealed their strategy inclined to reverse gender stereotype because the female candidate emphasized policy over character, while the male emphasized character over policy. Both candidates did not fully employ ten image functions because they utilized mostly the emotional and image building functions. The female candidate message achieved the largest total amount of 'like' and 'share'. This study probes into the App campaigning and improve the feasibility and practicability to share knowledge of political communication by new media.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.75-88
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• 2023

In a specific domain, experts have different understanding of domain knowledge or different purpose of constructing ontology. These will lead to multiple different ontologies in the domain. This phenomenon is called the ontology heterogeneity. For research fields that require cross-ontology operations such as knowledge fusion and knowledge reasoning, the ontology heterogeneity has caused certain difficulties for research. In this paper, we propose a novel ontology matching model that combines word embedding and a concatenated continuous bag-of-words model. Our goal is to improve word vectors and distinguish the semantic similarity and descriptive associations. Moreover, we make the most of textual and structural information from the ontology and external resources. We represent the ontology as a graph and use the SimRank algorithm to calculate the structural similarity. Our approach employs a similarity queue to achieve one-to-many matching results which provide a wider range of insights for subsequent mining and analysis. This enhances and refines the methodology used in ontology matching.

• Journal of Korean Classical Literature and Education
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• no.34
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• pp.5-39
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• 2017

The purpose of this study is to establish genre knowledge that can be used to study classical Korean novels. Genre knowledge is important because it characterizes individual works based on their knowledge, as well as organically links them with the social context. In this study, I suggest that long classical Korean novels with similar contents can be analyzed using genre knowledge and analyze the "register" of the representative work Sohyeonsungrok as an example of a classical Korean novel. In the Sydney school, register connects genre and language. Register comprises field, tenor, and mode in the social context, and ideological meaning, interpersonal meaning, and textual meaning through language. These three meanings help us to understand how experiences are transformed into language, the relationship between participants, and the way a text is organized. Based on these frameworks, this study reveals that the linguistic features of Sohyeonsungrok is "an attitude that accepts a wide range of human emotions and desires and steadily waits for it to be included in norms." Classic Korean novels such as Sohyeonsungrok depict characters who are not wicked even though they cannot fully comply with social norms, and thereby create sympathy for family members living through Confucian ideology. This genre knowledge is useful for understanding the ideological implications of classical Korean novels.

• The Journal of Information Technology and Database
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• v.8 no.1
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• pp.117-128
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• 2001

Recently there are many researches of text mining to find interesting patterns or association rules from mass textual documents. However, the words extracted from informal documents are tend to be irregular and there are too many general words, so if we use pre-exist method, we would have difficulty in retrieving knowledge information effectively. In this paper, we propose a new feature extraction method to classify mass documents using association rule based on unsupervised learning technique. In experiment, we show the efficiency of suggested method by extracting features and classifying of documents.

• ETRI Journal
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• v.29 no.4
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• pp.527-529
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• 2007

In this paper, a decision-tree-based Markov model for phrase break prediction is proposed. The model takes advantage of the non-homogeneous-features-based classification ability of decision tree and temporal break sequence modeling based on the Markov process. For this experiment, a text corpus tagged with parts-of-speech and three break strength levels is prepared and evaluated. The complex feature set, textual conditions, and prior knowledge are utilized; and chunking rules are applied to the search results. The proposed model shows an error reduction rate of about 11.6% compared to the conventional classification model.

• English Language & Literature Teaching
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• v.10 no.3
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• pp.1-20
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• 2004

The findings in contrastive rhetoric research of the twentieth century have shown that different cultures have different conventions in organizing written texts. These culture-related conventions were claimed to influence English texts written by L2 learners, including Asian learners of English. However, due to the massive inflow of the American culture into Asia as well as increased exposure to English in the midst of globalization of the last decade, it is quite probable that the textual gap between the native English writers and Asian EFL writers have been reduced. The present study investigates the changes that have taken place in EFL writer's knowledge of genre-specific writing over the past decade. To this aim, this study compared four sets of application essays written by four groups of applicants (1) native American applicants in 1993, (2) Korean EFL applicants in 1933, (3) native American applicants in 2003, and (4) Korean EFL applicants in 2003. The results suggested that the disparity between the Korean EFL writers' and the native English writers' texts were becoming less noticeable at the macro-level, possibly due to Korean EFL writers' enhanced textual awareness of English genre structures Pedagogical implications are discussed.

• Computers and Concrete
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• v.2 no.4
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• pp.293-307
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• 2005

The development and the main features of an expert system for modeling the requirements of durable concrete in chemical exposure, called the Durable Concrete Advisor for Chemical Exposure (DCACE), are described. The system was developed to help improve the quality of concrete exposed to chemical environment by minimizing mistakes and deficiencies in selecting concrete constituents. Using Kappa-PC expert system shell, an object-oriented model was developed where the rule-based reasoning operates on or across objects. The American Concrete Institute manual of concrete practice was chosen as the main source of knowledge. Other textual sources were also consulted for knowledge acquisition. The major objectives of the research were acquisition and formalization of the relevant knowledge and building an expert system for making durable concrete for chemical exposure regarding sulfate attack, acid attack, seawater attack and carbonation. Similar to most expert systems, this system has explanation facilities, can be incrementally expanded, and has an easy to understand knowledge base. The performance of the system is demonstrated by an example session. The system is user-friendly and can be used as an educational tool.

• Publications of The Korean Astronomical Society
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• v.26 no.1
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• pp.1-24
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• 2011

Korea Astronomy and Space Science Institute (KASI) has constructed online database of the Korean Astronomical Almanac as a part of the 'Knowledge and Information Business Project 2009' supported by the Ministry of Knowledge Economy. Throughout this project, KASI provides both digitized images and extracted text from the almanac covering approximately 240 years. The primary purpose of this paper is to serve as a reference for users of the almanac database. Hence, we introduce the calendar history and kinds of the astronomical almanac used in Korea, and explain the contents of the almanacs according to its appearance time. We also briefly mention the steps employed in constructing the database system and Web site. Since ancient times, astronomical almanacs have been an essential part of daily life. We, therefore, believe that the astronomical almanac database constructed by KASI will prove its usefulness in various fields, and particularly in the study of historical astronomy.

• The Journal of Industrial Distribution & Business
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• v.14 no.8
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• pp.19-25
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• 2023

Using a procurement and construction stage emphasis on the capabilities of the Sub-Contractor (SC), the present research aims to discover the types of unfair activities between the Main Contractor (MC) and SC and their influence on project completion. This research also tries to figure out solutions which can reduce unfair activities between MC and SC. Research design, data and methodology: The qualitative textual analysis was selected for the current research and has been used by numerous previous researchers commonly to review relevant themes in the prior resources and suggested for researchers who conduct a reviewing procedure to analyze meta-analysis approach for figuring out better research findings from prior resources. Results: The result indicates the prevalence and consequences of bid shopping, emphasizing the need for transparency and fair bidding practices. Late payment issues were also found to be crucial for subcontractors' financial stability, urging the implementation of prompt payment legislation and agreements. Conclusions: In conclusion, the research revealed that subcontracting is common in construction projects, with general contractors relying on multiple subcontractors to carry out specific work items. The accomplishment of building projects hinges on the collaborative efforts between the main contractor (MC) and subcontractors (SCs), each focusing on different aspects of the project.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.101-111
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• 2024

In this paper, we propose a concpetual architecture and its implementation approach for contextualizing unstructured CCTV-video frame data into structured XML-video textual data by using the deep-learning neural network models and frameworks. Conclusively, through the conceptual architecture and the implementation approach proposed in this paper, we can eventually realize and implement the so-called sharable working and experiencing knowledge management platforms to be adopted to smart factories in various industries.