• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.171-195
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• 2020

This study analyzed the collaborative process in time series by dismantling the edit log big data of Wikipedia Korea, a representative online collaboration community, from early 2002 to 2019. Analysis elements were extracted from the document edit records, formatted in standardized XML, and analyzed using Python and R. The ways of editors' contribution, the characteristics of data contents, and the trend of document creation were explained by the analysis. An active contribution of a small set of editors and a loose participation of the majority were revealed. In addition, sociocultural characteristics that appear in online communities were also found in Wikipedia Korea. A new, diverse set of external resources is necessary to sustain the collective intelligence. An effort to settle new editors into the wikipedia community and an openness through circulation structure to avoid the exclusiveness of the management group are suggested.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.101-112
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• 2014

With the development of information and communications technologies, there have been increasing cases of services and use free educational materials in educational field through the Web. However, as most of the materials are provided in a finished form via the Web services, teachers are in a situation where they have difficulty in using the materials through development or revision according to their educational goals. In this background, this study aimed to develop requirements and functions necessary for the educational contents development tools by having teachers as actual users develop contents using existing tools of the educational contents development. As a result, this study developed 10 requirements, including intuitive interface environment, support for various multimedia materials, and diversification of output versions etc. Also, the study suggested 13 functions, including links with external resources, automatic format conversion function, usage and editing of existing documents, writing learner's answers, and hiding function etc.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.77-86
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• 2008

The Web information sources can be regarded as the largest distributed database to the users. By virtually integrating the distributed information sources and regarding them as a single huge database, we can query the database to extract information. This capability is important to develop Web application programs. We have to infer a database schema from browsing-oriented Web documents in order to integrate databases. This paper presents a heuristic algorithm to infer the XML Schema fully automatically from semi-structured Web documents. The algorithm first extracts candidate pattern regions based on predefined structure-making tags, and determines a target pattern region using a few heuristic factors, and then derives XML Schema extraction rules from the target pattern region. The schema extraction rule is represented in XQuery, which makes development of various application systems possible using open standard XML tools. We also present the experimental results for several public web sources to show the effectiveness of the algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.430-433
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• 2007

There have been several researches to manipulate XML Queries efficiently since XML has been accepted in many areas. Among the many of the researches majority of them adopt relational databases as underlying systems because relational model which is used the most widely for managing large data efficiently. In this paper we develop XQuery to SQL Translation Algorithms called XSTAR that can efficiently handle XPath, XQuery FLWORs with nested iteration expressions, element constructors and keywords retrieval on relational database as well as constructing XML fragments from the transformed SQL results. The entire algorithms mentioned in XSTAR have been implemented as the XQuery processor engine in XML management system, XPERT, and we can test and confirm it's prototype from "http ://dblab.kmu.ac.kr/project.jsp".

• Journal of KIISE
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• v.42 no.7
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• pp.919-928
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• 2015

In recent years, many research efforts have been made on privacy-preserving data mining (PPDM) in data of large volume. In this paper, we propose a PPDM solution based on principal component analysis (PCA), which can be widely used in computing correlation among sensitive data sets. The general method of computing PCA is to collect all the data spread in multiple nodes into a single node before starting the PCA computation; however, this approach discloses sensitive data of individual nodes, involves a large amount of computation, and incurs large communication overheads. To solve the problem, in this paper, we present an efficient method that securely computes PCA without the need to collect all the data. The proposed method shares only limited information among individual nodes, but obtains the same result as that of the original PCA. In addition, we present a dimensionality reduction technique for the proposed method and use it to improve the performance of secure similar document detection. Finally, through various experiments, we show that the proposed method effectively and efficiently works in a large amount of multi-dimensional data.

• Journal of the Korean Society for information Management
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• v.22 no.3 s.57
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• pp.351-378
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• 2005

The study intended to develop KORMARC for archives in order to integrate archives with library materials. The results of the study can be summarized as follows; (1) 2 areas for conservation and physical description are added to the existing 7 areas of ISAD(G)2. The study has also proved that the existing 26 elements of ISAD(G)2 are not fully enough to satisfy the information demands' of institutions and its users as well. (2) For the use of domestic archives in particular, the study has added the description elements of archives that appeared in the Government Regulations of Office Management and those forms of documents that are specified by law for the sake of computerization. The study has added the possible release and grade, release dates, release range, conservation periods, conservation periods, conservation value, the status description of archives elements that are specified in Public Record Management Law. (3) The study has developed the following data fields to be added into KORMARC. 512 creation dates note, 555 finding aids note, 583 action note and 584 accumulation note. Also it reorganizes and adds the indicators of the 245 title statement, 300 physical description 306 playing time, 506 restriction on access note, 534 original version note, 535 location of originals/duplicates note, 540 terms governing use and reproduction notes, 541 immediate source of acquisition note, 545 biographical or historical note, 581 publication note, 850 holding institution data fields.

• Convergence Security Journal
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• v.10 no.2
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• pp.1-9
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• 2010

Snort is an open source network intrusion prevention and detection system (IDS/IPS) developed by Sourcefire. Combining the benefits of signature, protocol and anomaly-based inspection, Snort is the most widely deployed IDS/IPS technology worldwide. With millions of downloads and approximately 300,000 registered users. Snort identifies network indicators by inspecting network packets in transmission. A process on a host's machine usually generates these network indicators. This means whatever the snort signature matches the packet, that same signature must be in memory for some period (possibly micro seconds) of time. Finally, investigate some security issues that you should consider when running a Snort system. Paper coverage includes: How an IDS Works, Where Snort fits, Snort system requirements, Exploring Snort's features, Using Snort on your network, Snort and your network architecture, security considerations with snort under digital forensic windows environment.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.745-750
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• 2010

To effectively retrieve mathematical documents including various equations, mathaware search engines are needed. In this paper, we propose a equation retrieval system which helps users effectively search structurally similar equations. The proposed system disassembles MathML equations into three types of heterogeneous indexing terms; operators, variables, and partial structures of equations. Then, it independently indexes the disassembled terms. When a user inputs a MathML equation, the proposed system searches and ranks equations using weighted sums of three language models for the heterogeneous indexing terms. In the experiments with 244,744 MathML equations, three proposed system showed reliable performances (a P@1 of 53% in the closed test and a P@1 of 63% in the open test).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.469-472
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• 2003

The computational cost of encryption is a barrier to wider application of a variety of data security protocols. Virtually all research on Elliptic Curve Cryptography(ECC) provides evidence to suggest that ECC can provide a family of encryption algorithms that implementation than do current widely used methods. This efficiency is obtained since ECC allows much shorter key lengths for equivalent levels of security. This paper suggests how improvements in execution of ECC algorithms can be obtained by changing the representation of the elements of the finite field of the ECC algorithm. Specifically, this research compares the time complexity of ECC computation eve. a variety of finite fields with elements expressed in the polynomial basis(PB) and normal basis(NB).

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.424-427
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• 2011

방송 환경과 인터넷 환경이 융합되고 스마트 TV의 등장에 따라, 사용자는 복잡한 미디어 서비스 환경에 노출되었다. 이로 인해 사용자가 접하는 미디어 콘텐츠의 종류와 데이터의 양은 기하급수 적으로 증가 하고 있다. 웹과 인터넷을 기반으로 하는 정보기술은 모바일 전자 기술의 발달에 따라 데스크탑 이라는 공간적인 한계를 벗어나 유기적인 유비쿼터스 환경으로 변화하고 있으며, 정보 및 콘텐츠의 개념은 웹문서와 텍스트를 넘어서 UCC, 음악, 영화 등의 모바일 멀티미디어 콘텐츠들로까지 빠르게 확장되고 있다. 또한, N-스크린과 IPTV 서비스의 등장은 사용자로 하여금 장소와 시간에 관계없이 미디어를 취득할 수 있는 이득을 제공할 수 있으나 사용자가 선택은 더욱 힘들어 졌다. 방송 통신 융합 단말에서 콘텐츠에 대한 정보를 제공 받기 위해서는 TV-Anytime 인터페이스, MPEG Query Format 인터페이스, OPEN API 등이 사용 가능하다. TV-Anytime 인터페이스는 대용량 저장 장치를 갖는 방송 단말기에서 메타데이터를 제공 및 검색하기 위한 인터페이스를 제공하며, MPEG Query Format 인터페이스는 MPEG-7을 기반으로 하는 메타데이터를 검색하기 위한 인터페이스를 제공한다. 또한, OPEN API는 업체들을 중심으로 공개적으로 제공 되어지는 API로 개방과 참여를 목적으로 한다. 이에 본 논문에서는 사용자의 콘텐츠 사용 정보를 바탕으로 선호 정보를 생성하고, 이를 바탕으로 콘텐츠에 대해서 강화된 정보를 생성하기 위한 서비스를 설계 및 개발한다.