• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.6
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• pp.113-119
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• 2017

The Rich Communication Service(RCS) is a next generation mobile messaging service. Since it has been developed and managed by a wireless service provider, 3rd party application developers cannot utilize the RCS features in their apps. A few studies have been proposed to solve this problem, even though they were not viable level of deployment. This paper presents a Web-based Rich Communication Service Software Framework(WebRSF) to help the 3rd party application developers adopt RCS features easily. WebRSF converts complicated RCS protocols to simple web-based protocols for providing the RCS 1-to-1 chat service to the 3rd parties. Communication protocols between WebRSF and its clients are defined in this paper. Also, a network configuration diagram and a message flow diagram are defined. Finally, performance evaluation between the WebRSF client and the RCS client are performed to simulate the load on clients' devices. It shows that the WebRSF client has 17% less loads than the RCS client while initiating sessions, and has 25% more loads after initiating sessions.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.165-172
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• 2020

Recently, due to exponential growth of access information on the web, the importance of predicting a user's next web page use has been increasing. One of the methods that can be used for predicting user's next web page is deep learning. To predict next web page, web logs are analyzed by data preprocessing and then a user's next web page is predicted on the output of the analyzed web logs using a deep learning algorithm. In this paper, we propose a framework for web page prediction that includes methods for web log preprocessing followed by deep learning techniques for web prediction. To increase the speed of preprocessing of large web log, a Hadoop based MapReduce programming model is used. In addition, we present a web prediction system that uses an efficient deep learning technique on the output of web log preprocessing for training and prediction. Through experiment, we show the performance improvement of our proposed method over traditional methods. We also show the accuracy of our prediction.

• Asia pacific journal of information systems
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• v.13 no.4
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• pp.1-27
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• 2003

With a swift development of information technology, web sites get more important roles as user's living places. This quantitative and qualitative expansion of web sites requires the need for an evaluation framework of web sites from comprehensive perspectives. This study proposes two dimensions for web site categorization and three dimensions for web site evaluation. These dimensions were developed based on the architectural perspectives that have been used to evaluate buildings in the real world for more than a thousand years. First, in order to categorize various web sites, we extracted two dimensions, user's goals and user's behaviors from behavioral architect which approaches user's behaviors in designing buildings. Second, in order to evaluate four web sites groups, we suggested three dimensions, which are firmness, commodity, delight used in evaluating buildings in the real world. Then for each of the four different web sites groups an empirical survey was conducted to verify these three dimensions of architectural metrics. This ends with study implications and limitations.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.127-132
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• 2008

This study proposes a Natural Language Query Framework (NLQF) for the semantic web. It supports an intelligent inference at a semantic level. Most of previous researches focused on the knowledge representation on the semantic web. However, to revitalize the intelligent e-business on the semantic web, there is a need for semantic level inference to the web information. To satisfy the need, we will review the knowledge/resource representation on the semantic web such as RDF, Ontology and Conceptual Graph (CG), and then discuss about the natural language (NL) inference. The result of this research could support a natural interface for the semantic web. Furthermore, we expect that the NLQF can be used in the semantic web-based business communications.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.97-105
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• 2022

Web services show a rapid evolution and integration to meet the increased users' requirements. Thus, web services undergo updates and may have performance degradation due to undetected faults in the updated versions. Due to these faults, many performances and regression anomalies in web services may occur in real-world scenarios. This paper proposed applying the deep learning model and innovative explainable framework to detect performance and regression anomalies in web services. This study indicated that upper bound and lower bound values in performance metrics provide us with the simple means to detect the performance and regression anomalies in updated versions of web services. The explainable deep learning method enabled us to decide the precise use of deep learning to detect performance and anomalies in web services. The evaluation results of the proposed approach showed us the detection of unusual behavior of web service. The proposed approach is efficient and straightforward in detecting regression anomalies in web services compared with the existing approaches.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.45-52
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• 2015

To solve the problem of low inter-operability of systems and low reusability caused by not being standardized and common-shared development foundation between software developers, the government has proposed e-Government(eGov) standard framework. However, the development method based on eGov standard framework is not easy to learn and to use fluently, because it is so dissimilar the existing traditional development method. In this paper, we propose an approach for developing web applications by reusing common components of eGov standard framework, and describe about the case study of developing Can_Pro(Computer Aided Nutritional analysis program for Professionals) based on eGov standard framework. Consequently, we show improvement in productivity and reduction budget through reusability of common components and eGov standard framework.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.107-118
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• 2010

The user interface is the medium, which provides the users to have an access to the web-based information system. The user interface is the means of improving usability and accessibility for the user, as well as being the core component in the web-based information system. In this paper, the audit framework of the user interface was developed to upgrade the usability and accessibility; it was based on the three basic components of the current audit framework in the web-based information system. At the time of an audit, the UI process of the 'Analysis', 'UI Design', 'UI Production', and 'Test' was defined, which was analyzed through the web development methodology. Also, for the area of an audit, the 'Information', 'Design', and 'Technology' were defined by the analysis of the components that makes up the user interface, From the view of an audit, the standard criteria of an assessment were set as 'Usability', 'Accessibility', and 'Cross Browsing'. Through the framework that was proposed in this paper, practical audit applies the performed examples. By this, the efficiency of the proposed framework was verified.

• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.133-144
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• 2000

Many organizations have developed their own information systems not only for internal efficiency but also for effectiveness of external customer services. One of the most effective service tools for their customers is the use of information technology. The web technology is rapidly becoming one of the most effective tools for online customer services. In order to gain competitive edge, organizations must have effective web site planning methods for their customer service. A study on traditional information systems planning methodologies has been conducted and they are compared with web site planning techniques. Cases of web sites in order to Improve customer relationship are analyzed. finally, a new conceptual framework for web site planning strategy for e-CRM is proposed in this paper. In order to support effective web site planning, online customer contact points and online service activities are defined and classified as several stages. And, web site strategies corresponding to each customer service activities are developed and proposed, With this framework, organizations can build competitive web strategies for improving their online customer relationships, thereby increasing customer satisfaction.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1239-1243
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• 2010

The web environment is evolving rapidly. Testing in the web based software is an essential process to improve stability and productivity. Testing of complex web contents and ill(user interface) is most important thing. Implemented test cases are efficient when they are automated and reusable. But, most of the testing automation tools are focused on technical accessibility and functions still. A collaboration of the persons concerned and reusability of implemented test case are ignored. In this paper we propose an efficient way to design automated test case in web environment, and to share and pattern automated test cases we introduce testing framework called NTAF(NHN Test Automation Framework.). The NTAF is based on open source framework. It provides integrated testing environment that web testing cane be automated and managed continuously.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.69-87
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• 2008

The Web is evolving toward the Semantic Web. Ontologies are considered as a crucial component of the Semantic Web since it is the backbone of knowledge representation for this Web. However, most of these ontologies are still built manually. Manual building of an ontology is time-consuming activity which requires many resources. Consequently, the need for automatic ontology extraction tools has been increased for the last decade, and many tools have been developed for this purpose. Yet, there is no comprehensive framework for evaluating such tools. In this paper, we proposed a set of criteria for evaluating ontology extraction tools and carried out an experiment on four popular ontology extraction tools (i.e., OntoLT, Text-To-Onto, TERMINAE, and OntoBuilder) using our proposed evaluation framework. The proposed framework can be applied as a useful benchmark when developers want to develop ontology extraction tools.