• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Korean Journal of Construction Engineering and Management
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• v.2 no.3 s.7
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• pp.92-100
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• 2001

The architectural drawing, construction project specification, etc. are included in the contract of a documents. However, construction project specification, for being documentation, is not utilized to such an extent. The reason is that specification information is difficult in collecting information in relation to the architectural drawing, material finishing list and other architectural information. Therefore, an integrated model, which can be associated with other architectural information, is needed, and a DB based on this integrated model must be established in order for it to be utilized in design, construction, and management. The DB, which is established through this process, must be updated according to modification in design, and construction. Furthermore the specification must be in document on the web for reference. Consequently in this research, the structure of integrated model has been introduced, and it has made the search and preparation of the integrated model on the Internet, using the specification information DB established for the mutual reference of DB, possible. The improvements of construction project specification standards are expected by this system. Also, it will bring about Improvements upon claim prevention, and design, construction, management qualities. Furthermore, it will make the use of information more convenient in practical business such as order agency, design service and building site.

• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.27-36
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• 2010

In Web registration pages and online polling applications, CAPTCHA(Completely Automated Public Turing Test To Tell Computers and Human Apart) is used for distinguishing human users from automated programs. Text-based CAPTCHAs have been widely used in many popular Web sites in which distorted text is used. However, because the advanced optical character recognition techniques can recognize the distorted texts, the reliability becomes low. Image-based CAPTCHAs have been proposed to improve the reliability of the text-based CAPTCHAs. However, these systems also are known as having some drawbacks. First, some image-based CAPTCHA systems with small number of image files in their image dictionary is not so reliable since attacker can recognize images by repeated executions of machine learning programs. Second, users may feel uncomfortable since they have to try CAPTCHA tests repeatedly when they fail to input a correct keyword. Third, some image-base CAPTCHAs require high communication cost since they should send several image files for one CAPTCHA. To solve these problems of image-based CAPTCHA, this paper proposes a new CAPTCHA based on both image and text. In this system, an image and keywords are integrated into one CAPTCHA image to give user a hint for the answer keyword. The proposed CAPTCHA can help users to input easily the answer keyword with the hint in the fused image. Also, the proposed system can reduce the communication costs since it uses only a fused image file for one CAPTCHA. To improve the reliability of the image-text fusion CAPTCHA, we also propose a dynamic building method of large image dictionary from gathering huge amount of images from theinternet with filtering phase for preserving the correctness of CAPTCHA images. In this paper, we proved that the proposed image-text fusion CAPTCHA provides users more convenience and high reliability than the image-based CAPTCHA through experiments.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.21-31
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• 2014

As the protein drug industry is growing, protein informations are indispensable for the protein drug development. NCBI and PDB in the U.S., the EMBL in Europe and the DDBJ in Japan are the representative centers for bio information and each center provides specific data for protein information. To obtain specific protein information, users are to be collect them from the service sites of each center and then combine or analyze for their purpose. To facilitate the accessibility to bio data, various R&D activities are running for development of diverse web services relevant to bio data in major data centers or small-scale projects. With the recognition of protein information as pivotal for the protein drug development, DrugBank in Canada, GDSC in the U.S. start to provide integrated informations between drugs and proteins. However, those service does not meet users' demands due to lack of diversity. In Korea, infra structures for bioinformatics are limited and the current services for protein drug information are providing only basic information of the drug including distribution data. This is a pilot study to construct a specialized service for protein drug information in Korean style breaking through the limitations of current services. This study proposed new fields for protein characterization information which had not been provided by current services and evaluated their effectiveness and usability by comparing them to the existing fields with expert survey. As a result, the newly proposed fields for protein characterization have been proven to be useful data fields for the service of protein drug information.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.138-147
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• 2007

Metabolic pathway is a series of chemical reactions occuning within a cell and can be used for drug development and understanding of life phenomenon. Many biologists are trying to extract metabolic pathway information from huge literatures for their metabolic-circuit regulation study. We propose a text-mining technique based on the keyword and pattern. Proposed technique utilizes a web robot to collect huge papers and stores them into a local database. We use gene ontology to increase compound recognition rate and NCBI Tokenizer library to recognize useful information without compound destruction. Furthermore, we obtain useful sentence patterns representing metabolic pathway from papers and KEGG database. We have extracted 66 patterns in 20,000 documents for Glycosphingolipid species from KEGG, a representative metabolic database. We verify our system for nineteen compounds in Glycosphingolipid species. The result shows that the recall is 95.1%, the precision 96.3%, and the processing time 15 seconds. Proposed text mining system is expected to be used for metabolic pathway reconstruction.

• Journal of Information Management
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• v.34 no.4
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• pp.63-84
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• 2003

This research is a case study that describes the NUCLIS21(Nuclear Information System 21), an integrated web-based information management system of KAERI(Korea Atomic Energy Research Institute), implemented to carry out the role of a national nuclear information center with government support as an information infra implementation programme. Through its user-centered single interface, the system aims at building an infrastructure for the national nuclear information center, as well as improving the information management system of the TID(Technical Information Department) within the institute. The system consists of two major parts which are an integrated module of the MIS and six different kinds of system. These include the Integral search system with OPAC, My Library, the Acquisition system, the Catalogue system, the Information Supply system, and the Serial Publication system. The DB is composed of Bibliographical DB, Original text DB and Abstract DB. A special feature of this system was designed as a unified network system through connection to MIS(Management Integration System) of the institute, so users can get research information for projects. Therefore, they have access to available information easily and access to the ongoing service of this system. Furthermore, users can share information by using our system. The survey has it that 75.7%(200 persons), 62.1%(164 persons) and 78.4%(207 persons) of the respondents are satisfied with the fidelity, speediness, and convenience of the system respectively, and the overall satisfaction of the respondents is comparably high.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.153-161
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• 2013

Recently, there has been a tremendous increase in the availability of educational materials for foreign language learning. As part of this trend, there has been an increase in the amount of electronically mediated materials available. However, conventional educational contents developed using computer technology has provided typically one-way information, which is not the most helpful thing for users. Providing the user's convenience requires additional off-line analysis for diagnosing an individual user's learning. To improve the user's comprehension of texts written in a foreign language, we propose an intelligent learning tool based on the analysis of the user's eyeball movements, which is able to diagnose and improve foreign language reading ability by providing necessary supplementary aid just when it is needed. To determine the user's learning state, we correlate their eye movements with findings from research in cognitive psychology and neurophysiology. Based on this, the learning tool can distinguish whether users know or do not know words when they are reading foreign language sentences. If the learning tool judges a word to be unknown, it immediately provides the student with the meaning of the word by extracting it from an on-line dictionary. The proposed model provides a tool which empowers independent learning and makes access to the meanings of unknown words automatic. In this way, it can enhance a user's reading achievement as well as satisfaction with text comprehension in a foreign language.

• The KIPS Transactions:PartD
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• v.14D no.2
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• pp.249-264
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• 2007

As the need for telematics contents services due to the frequent traveling of people is increasing, it is necessary to provide various telematics contents by connecting and integrating current telematics contents which are collected and provided by each individual data provider. However, it is difficult to integrate or exchange the current telematics contents, because the data providers use different telematics contents models. Therefore, we propose a 'telematics contents gateway(TCG); system, which enables to integrate different telematics contents, so that the contents can be interoperable. The TCG can be a solution for several problems in the current telematics contents providing system. First of all, it has been impossible to search the contents without any information about data providers, because of the absence of metadata in the current systems. For this problem, TCG supports a search function based on a web-service technology. Second, TCG provides a common road network model for interoperability, and the model can be a solution to integrate different road network models into the common model. Moreover, integration algorithm for enhancing the correctness of integration will be proposed. In addition, it is designed by multi threads and multi queue structure. The TCG developed with C# on a windows system has been running and we verified that there was no information loss in the integration process. In addition, the speed of content integration and transfer satisfied the requirement of telematics services providers.

• Journal of the korean academy of Pediatric Dentistry
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• v.45 no.4
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• pp.407-417
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• 2018

To investigate knowledge and attitude of parents about early childhood caries and dental caries prevention, a questionnaire survey was conducted on 247 parents of children who had oral screening experience among 3 to 5 years old children in 3 kindergartens in Jeonju city. A total of 220 completed questionnaires were selected for final analysis. The overall perception of the parents about oral health of the children was 82.3 points (10.7 / 13) in terms of 100 points. There were statistically significant correlations between maternal age (p = 0.027), maternal education level (p = 0.002), household monthly income (p = 0.000) and maternal oral health knowledge level. The main source of oral health information was 'dentist and dental hygienist'(83.6%) followed by 'Web search'(22.3%). Compared with the previous studies, the level of knowledge of parents about oral health of the children was improved. However, in order to raise awareness of the parents about the poorly assessed items in this study, it is necessary to increase the participation rate by advertising the national dental screening program for infants and children and make efforts to improve the quality of oral health education in screening.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.219-243
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• 2017

This study aims to provide alternative strategies for promoting active engagement of users in participatory archives. It focuses on users and their active participation in digital archives beyond providing simple participation opportunities. In doing so, the study reviewed relevant literature that analyzes interpretation and development of participatory digital archives. Moreover, it examined several cases of participatory digital archives as to how they apply for user participation, policy, and service. As a general property, main participants, duration, and technology were examined. Technology was further subdivided into open source software, availability of Open API, availability of mobile web, and offline archives. Participation method was divided into active participation, hub participation, and passive participation according to degree of user participation, and the participation functions provided by each archive were compared and analyzed. In policy area, terms of use, personal information processing policy, copyright policy, collection policy, major collections, scope of collections, classification methods, and descriptive elements of each archive were discussed. Services were divided into content, search, and communication area. Based on such analysis, this study proposed ways for promoting active engagement of users in participatory digital archives in terms of participation, policy, content service, and communication service.