• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.221-222
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• 2006

Today, Web Services is very well-known as a middle-ware that can inter-communicate between many different program languages. This paper test web services by implementing two different web services platforms which are MS .NET based server and Apache AXIS based client. Those platforms have different data structure/process, and they could not give the developer seamless data compatibility through web services. However we confirmed that handling data, by some data transforming rules, web services can successfully inter-communicate between MS .NET based server and Apache AXIS based client.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.443-446
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• 2002

In this research, we suggest a Web-based hybrid recommendation mechanism using CBR (Case-Based Reasoning) and web data mining. Data mining is used as an efficient mechanism in reasoning for relationship between goods, customers' preference and future behavior. CBR systems are normally used in problems for which it is difficult to define rules. We use CBR as an AI tool to recommend the similar purchase case. A Web-log data gathered in real-world Internet shopping mall was given to illustrate the quality of the proposed mechanism. The results showed that the CBR and web data mining-based hybrid recommendation mechanism could reflect both association knowledge and purchase information about our former customers.

• Korean Journal of Computational Design and Engineering
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• v.5 no.1
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• pp.23-32
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• 2000

In this paper, we present a Web-enabled product data sharing system for the support of RPD (Rapid Product Development) process by incorporating STEP (STandard for the Exchange of Product model data) with Web technology such as VRML (Virtual Reality Markup Language), SGML (Structured Generalized Markup Language) and Java. Extreme competition makes product life cycle short by incessantly deprecating current products with a brand-new one, and thus urges enterprises to devise a new product faster than ever. In this environment, an RPD process with effective product data sharing system is essential to outstrip competitors by speeding up the development process. However, the diversity of product data schema and heterogeneous systems make it difficult to exchange the product data. We chose STEP as a neutral product data schema and Web as an independent exchange environment to overcome these problems. While implementing our system, we focused on the support of STEP AP 203 UoF (Units of Functionality) views to efficiently employ STEP data models that are maximally normalized, and therefore very cumbersome to handle. Our functionality-oriented UoF view approach can increase users'appreciation since it facilitates the modular usage of STEP data models. This can also enhance the accuracy of product data. We demonstrate that our view approach is applicable to the configuration control of mechanical assemblies.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.91-95
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• 2007

Main goal of web recommendation system is to study how user behavior on a website can be predicted by analyzing web log data which contain the visited web pages. Many researches of the web recommendation system have been studied. To construct web recommendation system, web mining is needed. Especially, web usage analysis of web mining is a tool for recommendation model. In this paper, we propose web recommendation system using grid based support vector machines for improvement of web recommendation system. To verify the performance of our system, we make experiments using the data set from our web server.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.836-838
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• 2013

In recent years, the future direction of information technology social computing, mobile computing, cloud computing. Web technology industries beyond IT convergence technology for the service side of the parameters has been developed. In particular, the rapid increase of data in a web-based open Web and the importance of the next generation Web technology is increasing. In this paper, the next generation Web technology, an open Web and the importance of increasing domestic and international standardization trends were studied.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.681-689
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• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.61-76
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• 2014

The exponential growth of information on the web far exceeds the capacity of present day information retrieval systems and search engines, making information integration on the web difficult. In order to overcome this, semantic web technologies were proposed by the World Wide Web Consortium (W3C) to achieve a higher degree of automation and precision in information retrieval systems. Semantic web, with its promise to deliver machine understanding to the traditional web, has attracted a significant amount of research from academia as well as from industries. Semantic web is an extension of the current web in which data can be shared and reused across the internet. RDF and ontology are two essential components of the semantic web architecture which support a common framework for data storage and representation of data semantics, respectively. Ontologies being the backbone of semantic web applications, it is more relevant to study various approaches in their application, usage, and integration into web services. In this article, an effort has been made to review the research work being undertaken in the area of design and development of ontology supported information systems. This paper also briefly explains the emerging semantic web technologies and standards.

• Journal of Advanced Navigation Technology
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• v.22 no.5
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• pp.467-471
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• 2018

During the fourth industrial revolution, the amount of data available to users has surged. And it became a stepping stone for various convergence technologies such as ECMA script, WebAssembly, and web of things using web technology. Also, as the amount of data shared on the web increases, the web has emerged as the most influential media in modern life. As a result, web developers have tried to deliver data quickly over the Web. So, various web application analysis tools appeared, and developers tried to find a solution to solve the speed problem by analyzing the web application. However, the performance of web application analysis tools has not improved significantly. Most existing analytical tools require direct installation, require expertise on the Web to perform analysis, and do not have function to analysis new technologies such as WebAssembly. Therefore, in this paper, we propose the design of a new reporting solution that can solve problems of existing web application analysis tool.

• International Journal of Contents
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• v.1 no.2
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• pp.5-9
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• 2005

Currently most Internet documents including data are made based on predefined templates, but templates are usually formed only for main data and are not helpful for information retrieval against indexes, advertisements, header data etc. Templates in such forms are not appropriate when Internet documents are used as data for information retrieval. In order to process Internet documents in various areas of information retrieval, it is necessary to detect additional information such as advertisements and page indexes. Thus this study proposes a method of detecting the layout of Web pages by identifying the characteristics and structure of block tags that affect the layout of Web pages and calculating distances between Web pages. This method is purposed to reduce the cost of Web document automatic processing and improve processing efficiency by providing information about the structure of Web pages using templates through applying the method to information retrieval such as data extraction.

• Journal of Wind Energy
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• v.4 no.1
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• pp.60-67
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• 2013

A web-based program was developed for analyzing weather and structure data from the HeMOSU-1 offshore meteorological mast installed by the KEPCO Research Institute, and 35 km west-southwestward away from Gyeokpo located in Jeonbuk province. All of the measured data are obtained through the data transmitter and the server systems equipped on the HeMOSU-1 and the aerodynamic laboratory in Chonbuk National University respectively. The dualised server system consists of two servers, one is for logging the 1 second based raw data with 10 minute averaged values, and the other is for managing web page with processed weather data. Daily or weekly 10-min averaged data can be provided based on the input date by users. Processed weather data such as wind rose, Weibull distribution, diurnal distribution, turbulence intensity according to wind speed, wind energy density, and so forth are visualized through the web page which would be both useful and informative for developing the wind farm or designing a wind blade for the wind farm nearby southwest sea around the Korean Peninsula. The URL for this web page is http://www.hemosu.org/.