• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1495-1498
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• 2002

The constrained average method is one of dither methods which combines edge emphasis and grayscale rendition to provide legibility of textual region and proper quality of continuous tone region. How-ever, image quality of continuous tone region is insufficient compared to other dither methods, such as ordered dither methods or the error diffusion method. The constrained average method uses a uniform distribution function to decide number of lit pixels related to the average intensity in a picture area. However, actual distribution of continuous tone region is closer to the Laplacian distribution or triangle distribution. In this paper, we introduce various probability distributions and the actual luminance distribution to decide the threshold value of the constrained average method in order to improve image quality of dithered image.

• Genomics & Informatics
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• v.17 no.2
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• pp.19.1-19.10
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• 2019

In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process.

• 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.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.211-223
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• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.

• The Transactions of the Korea Information Processing Society
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• v.2 no.6
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• pp.866-878
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• 1995

This paper explains design and implementation of Multimedia E-mail system as a research on multimedia service. It is based on MIME(Multipurpose Internet Mail Extensions) which extends RFC822. MIME is a standard mail tran sfer protocol which can include multiple objects in a single message, represent non-textual material such as images and audio, exchange without loss of multimedia information through SMTP(Simple Mail Transfer Protocol). It is implementation of Multimedia Mail system which can store, delete, edit and tran sfer multimedia mail misgave in user friendly way on UNIX system. It aims tp develope framework for multimedia E-mail system.

• Journal of the Korean Society for information Management
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• v.19 no.2
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• pp.159-179
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• 2002

The Dublin Core, MARC. IFLA-FRBR user communities are developing international standards for describing textual, physical and audiovisual resources to enable their resources discovery over the Internet. Therefore the metadata interoperability Problem has been exacerbated by the need for more complex metadata descriptions. In this paper we propose a new mechanism for metadata interoperability based on the new semantic web applications : IFLA-FRBR framework, INDECS metadata and an event-aware ABC models. This study introduces a new approach method which is essential to the generation of interoperable metadata descriptions, particularly in the context of multimedia contents.

• Journal of Internet Computing and Services
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• v.17 no.5
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• pp.25-32
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• 2016

There has been a rapid growth in the development of mobile application resulting from its wide usage for online transaction, data storage and exchange of information. However, an important issue that has been overlooked is the lack of emphasis on the security issues at the early stage of the development. In fact, security issues have been kept until the later stage of the implementation of mobile apps. Requirements engineers frequently ignore and incorrectly elicit security related requirements at the early stage of mobile application development. This scenario has led to the failure of developing secure and safe mobile application based on the needs of the users. As such, this paper intends to provide further understanding of the real challenges in extracting security attributes for mobile application faced by novice requirements engineers. For this purpose, two experiments on eliciting security attributes requirements of textual requirements scenario were conducted. The performance related to the correctness and time taken to elicit the security attributes were measured and recorded. It was found that the process of eliciting correct security attributes for mobile application requires effort, knowledge and skills. The findings indicate that an automated tool for correct elicitation security attributes requirement could help to overcome the challenges in eliciting security attributes requirements, especially among novice requirements engineers.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.141-146
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• 2020

Cine-Hangeul is a program that can predict the running time of a movie based on the screenplay before production. This paper seeks to verify the prediction reporting function of Cine-Hangeul, which is the standard Korean screenplay format. Moreover, this paper presents a method to increase the accuracy of the Cine-Hangeul reporting function. The objective of this paper is to offer a correction method based on scientific evidence because the current Cine-Hangeul reporting function has many errors. The verification process for five scenarios and movies confirmed that the default setting value of Cine- Hangeul's screening time prediction reporting was many errors. Cine-Hangeul analyzes the amount of textual information to predict the time of the scene and the time of the dialogue and helps predict the total time of the movie. Therefore, if a certain amount of text information is not available, the accuracy is unreliable. The current Cine-Hangeul prediction report confirms that the efficiency is high when the scenario volume is about 90 to 100 pages. As a result, prediction of screening time by Cine-Hangeul, a Korean scenario standard format program, confirmed the verification that it could secure the same level of reliability as the actual screening time by correcting the reporting settings. This verification also affirms that when applying about 50 percent of the basic set of screening time reporting, it is almost identical to the screening time.

• Journal of Korean Library and Information Science Society
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• v.27
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• pp.485-572
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• 1997

The purpose of this study is to investigate the textual and physical bibliography of these books that were printed from Koryo to Chosun Dynasty and written by the Kukyul system. This study is concerned with the Kukyul written in the transformed Chinese characters which representing their sino-Korean sound values only. The Kukyul is the Korean function word inserted to a written Chinese sentence for an easier understanding of the meaning by the Koreans. Until the present, most of these studies on the Kukyul are mainly concerned with the Korean linguistic characters. But this mentions to present the basic bibliographical information in order to presume the written period of the Kukyul system. 2The analysis of each book is made in the respect of: 1) historical aspect of the book 2) physical form and publishing date 3) transcription period of the Kukyul 4) the category of presenting Kukyul 5) historical change of transcribing Kukyul system The results of the study are as follows : First, the Kukyul system was divided into Sokdok and Sundok Kukyul according to the translation and recording format. Second, the Sokdok Kukyul is a kind of writing system for translated Chinese into Korean. Third, the Sundok Kukyul was frequently used Buddhist publications from later Koryo Dynasty to Middle Chosun period. Fourth, through the analysis of physical bibliography for that books, we rearrange the chronological oder of Sokdok Kukyul system as Hwaum-kyung, Hwaum-kyungSo, Kumkwngmyu ngkyung, Kuyeukinwang-kyung, Yukasajiron. Fifth, the characters of Sundok Kukyul systems were gradually decreased from eighty numbers to fifty numbers. This change is caused by the unification trends of sound value in morphological aspect.