• Asia pacific journal of information systems
• /
• v.9 no.4
• /
• pp.107-124
• /
• 1999

This paper describes a personalized advertisement technique as a part of intelligent customer services in Internet shopping malls. Based on customers' initial profile, purchase history, and behaviors in an Internet shopping mall, the technique displays appropriate advertisements on Internet web pages when customers' visit to the shopping mall. Customers preference scores for product groups which are main sources to select advertisements, are stored either a preference table or preference trees. Both of the two storage methods can support selection of advertisements on real time, and the preference tree method can reflect affinity among product groups. The suggested technique selects different advertisements to reflect changes of customers preferences as time goes by. An experiment has been performed to evaluate the effectiveness of the algorithm, which revealed that the algorithm selects more customer-oriented advertisements rather than random selection.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.6
• /
• pp.3219-3237
• /
• 2019

The Cloud Computing is growing rapidly in the current IT industry. Cloud computing has become a buzzword in relation to Grid & Utility computing. It provides on demand services to customers and customers will pay for what they get. Various "Cloud Service Provider" such as Microsoft Azure, Google Web Services etc. enables the users to access the cloud in cost effective manner. However, security, privacy and integrity of data is a major concern. In this paper various security challenges have been identified and the survey briefs the comprehensive overview of various security issues in cloud computing. The classification of security issues in cloud computing have been studied. In this paper we have discussed security challenges in cloud computing and also list recommended methods available for addressing them in the literature.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.05a
• /
• pp.881-884
• /
• 2013

RDF(Resource Description Framework)는 시맨틱 웹의 기초로서 웹 사용자에게 정보를 보다 정확하고 효율적으로 접근하는 표준이다. RDF 데이터를 효율적으로 저장하고 접근하는 필요성이 날로 증가하고 있다. RDF 데이터를 저장하고 검색하는 기본 저장 구조는 관계형 데이터베이스를 이용하는 것이다. 최근에는 RDF 데이터가 엄청나게 증가하고 있는 시점에 대용량 database의 질의(단순 조회)에 최적화된 칼럼-지향(column-oriented) 데이터베이스가 대안으로 제안되었다. 본 논문에서는 RDF 데이터의 저장 구조로서 관계형 데이터베이스와 칼럼-기반 데이터베이스를 비교분석 하고자 한다. Berlin SPARQL Benchmark 를 이용한 성능분석 결과 RDF data 의 저장 구조로서 칼럼-기반 데이터베이스의 효율성을 입증하였다.

• Journal of Information Processing Systems
• /
• v.17 no.1
• /
• pp.37-50
• /
• 2021

Query applications based on nested data, the most commonly used form of data representation on the web, especially precise query, is becoming more extensively used. MapReduce, a distributed architecture with parallel computing power, provides a good solution for big data processing. However, in practical application, query requests are usually concurrent, which causes bottlenecks in server processing. To solve this problem, this paper first combines a column storage structure and an inverted index to build index for nested data on MapReduce. On this basis, this paper puts forward an optimization strategy which combines query execution service tree and frequent sub-query trajectory to reduce the response time of frequent queries and further improve the efficiency of multi-user concurrent queries on large scale nested data. Experiments show that this method greatly improves the efficiency of nested data query.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.310-312
• /
• 2009

오늘날 기업은 전국,전세계적으로 storage location을 가지고 있으며, 전세계적으로 가장 많이 사용되는 물류관리시스템으로 SAP R/3을 들수있다. 기업은 비용절감을 위해 통합시스템 구축을 하려한다. 통합시스템 구축시 가장 우선되는 부분인 비용절감, 안정성, 보안성 등을 고려한다. 또한 RFID의 도입은 물류관리시스템에서 입고, 출고의 정확성 및 적재위치로의 관리가 용이하며 선입선출의 편리성을 도모할 수 있다. 따라서 본 논문에서는 RFID활용한 물류관리 middleware 설계방법과 RFC(Remote Function Call)을 활용한 웹과 interface방법 및 UML을활용한 framework 설계하고, 마지막으로 향후 연구과제를 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.537-540
• /
• 2021

One of the most promising technologies that is raised from the fourth industrial revolution is Digital Twin (DT). A DT captures attributes and behaviors of the entity suitable for communication, storage, interpretation or processing within certain context. A digital twin based on microservice framework architecture is proposed in this paper which identifies elements required for the complete orchestration of microservice based Survival Analysis of Lung Cancer Patients. Integration of microservices and Digital Twin Technology is studied.

• Journal of KIISE:Databases
• /
• v.37 no.2
• /
• pp.92-103
• /
• 2010

The Web Ontology Language (OWL) has become the W3C recommendation for publishing and sharing ontologies on the Semantic Web. To derive hidden information from OWL data, a number of OWL reasoners have been proposed. Since OWL reasoners are memory-based, they cannot handle large-sized OWL data. To overcome the scalability problem, RDBMS-based systems have been proposed. These systems store OWL data into a database and perform reasoning by incorporating the use of a database. However, they do not consider complete reasoning on all types of properties defined in OWL and the database schemas they use are ineffective for reasoning. In addition, they do not manage updates to the OWL data which can occur frequently in real applications. In this paper, we compare various database schemas used by RDBMS-based systems and propose an improved schema for efficient reasoning. Also, to support reasoning for all the types of properties defined in OWL, we propose a complete and efficient reasoning algorithm. Furthermore, we suggest efficient approaches to managing the updates that may occur on OWL data. Experimental results show that our schema has improved performance in OWL data storage and reasoning, and that our approaches to managing updates to OWL data are more efficient than the existing approaches.

• Journal of Korean Society for Geospatial Information Science
• /
• v.19 no.2
• /
• pp.3-8
• /
• 2011

Recently, the demand for enterprise for service map providing and portal site services of a 3D virtual city model for public users has been expanding. Also, accuracy of the data, transfer rate and the update for the update for the lapse of time emerge are considered as more impertant factors, by providing 3D information with the web or mobile devices. With the latest technology, we have seen various 3D data through the web. With the VRML progressing actively, because it can provide a virtual display of the world and all aspects of interaction with web. It offers installation of simple plug-in without extra cost on the web. LiDAR system can obtain spatial data easily and accurately, as supprted by numerous researches and applications. However, in general, LiDAR data is obtained in the form of an irregular point cloud. So, in case of using data without converting, high processor is needed for presenting 2D forms from point data composed of 3D data and the data increase. This study expresses urban LiDAR data in 3D, 2D raster data that was applied by compressing algorithm that was used for solving the problems of large storage space and processing. For expressing 3D, algorithm that converts compressed LiDAR data into code Suited to VRML was made. Finally, urban area was expressed in 3D with expressing ground and feature separately.

• Journal of the Korea Society for Simulation
• /
• v.17 no.2
• /
• pp.31-47
• /
• 2008

As OWL(Web Ontology Language) has been selected as a standard ontology description language by W3C, many ontologies have been building and developing in OWL. The lena developed by HP as an Application Programming Interface(API) provides various APIs to develop inference engines as well as storages, and it is widely used for system development. However, the storage model of Jena2 stores most owl documents not acceptable into a single table and it shows low processing performance for a large ontology data set. Most of all, Jena2 storage model does not consider hierarchical structures of classes and properties. In addition, it shows low query processing performance using the hierarchical structure because of many join operations. To solve these issues, this paper proposes an OWL ontology relational database model. The proposed model semantically classifies and stores information such as classes, properties, and instances. It improves the query processing performance by managing hierarchical information in a separate table. This paper also describes the implementation and evaluation results. This paper also shows the experiment and evaluation result and the comparative analysis on both results. The experiment and evaluation show our proposal provides a prominent performance as against Jena2.

• The KIPS Transactions:PartD
• /
• v.12D no.6 s.102
• /
• pp.915-920
• /
• 2005

In this paper we expanded a existing web based B2B system to support users in low speed network. To guarantee shared dat a consistency between clients and a server, we proposed a method of data change detection by using a time stamp tree and the performance analysis of the proposed method was proved by a simulation. Under the worst condition that leaf nodes of a times tamp tree were changed uniform distribution, the simulation result showed that the proposed method was more efficient than a sequential detection until the percentage of changed nodes were below $15\%$. According to our observation, the monthly average of data change was below $7\%$ on a web-based construction MRO B2B system or a company A from April 2004 to August 2004. Therefore the Proposed method improved performance of data change detection in practice. The proposed method also reduced storage consumption in a server because it didn't require a server to store replicated data for every client.