• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.59-68
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• 2012

Zero client-based cloud storage technology is gaining much interest as a tool to centralized management of organizational documents nowadays. Besides the well-known cloud storage's defects such as security and privacy protection, users of the zero client-based cloud storage point out the difficulty in browsing and selecting the storage category because of its diversity and complexity. To resolve this problem, this study proposes a method of intelligent document archiving by applying an algorithm-based automatic topic identification technology. Without user's direct definition of category to store the working document, the proposed methodology and prototype enable the working documents to be automatically archived into the predefined categories according to the extracted topic. Based on the proposed ideas, more effective and efficient centralized management of electronic documents can be achieved.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.53-63
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• 2011

Many techniques have been proposed to store and query XML data efficiently. One way achieving this goal is using relational database by transforming XML data into relational format. It is important to transform schema to preserve the content, the structure and the constraints of the semantics information of the XML document. Especially, key constraints are an important part of database theory. Therefore, the proposal technique has considered the semantics of XML as expressed by primary keys and foreign keys. And, the proposal technique can preserve not only XML data constraints but also the content and the structure and the semantics of XML data thru transformation process. Transforming information is the content and the structure of the document(the parent-child relationship), the functional dependencies, semantics of the document as captured by XML key and keyref constraints. Because of XML schema transformation ensures that preserving semantic constraints, the advantages of these transformation techniques do not need to use the stored procedure or trigger which these data ensures data integrity in the relational database. In this paper, there is not chosen the ID/IDREF key which supported in DTD, the inheritance relationship, the implicit referential integrity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2629-2636
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• 2015

Recently Big Data management have a rapid increases interest in IT field, much research conducting to solve a problem of real-time processing to Big Data. Lots of resources are required for the ability to store data in real-time over the network but there is the problem of introducing an analyzing system due to aspect of high cost. Need of redesign of the system for low cost and high efficiency had been increasing to solve the problem. In this paper, the document type of database, MongoDB, is used for design a log management system based a document type of database, that is good at big data managing. The suggested log management system is more efficient than other method on log collection and processing, and it is strong on data forgery through the performance evaluation.

• Journal of Korea Spatial Information System Society
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• v.7 no.1 s.13
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• pp.39-52
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• 2005

GML (Geography Markup Language) has become the widely adopted standard for transport and storage of geographic information. So, various researches such as modeling, storage, query, and etc have been studied to provide the interoperability of geographic information in web environments. Especially, there are increased needs to store semi-structured data such as GML documents efficiently. Therefore, in this paper, we design and implement a GML repository to store GML documents on the basis of GML schema using spatial database system. GML Schema is converted into directed GML schema graph and the schema mapping technique from directed schema graph to spatial schema is presented. Also, we define the conversion rules on spatial schema to preserve the constraints of GML schema. GML repository using spatial database system is useful to provide the interoperability of geographic information and to store and manage enormous GML documents.

• Journal of KIISE:Databases
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• v.33 no.3
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• pp.342-352
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• 2006

Current studies on storing XML data are focused on either mapping XML data to existing RDBMS efficiently or developing a native XML storage. Some native XML storages store each XML node with parsed object form. Clustering, the physical arrangement of each object, can be an important factor to increase the performance with this storing method. In this paper, we propose re-clustering techniques that can store an XML document efficiently. Proposed clustering technique uses path similarities among data nodes, which can reduce page I/Os when returning query results. And proposed technique can process a path query only using small number of clusters as possible instead of using all clusters. This enables efficient processing of path query because we can reduce search space by skipping unnecessary data. Finally, we apply existing clustering techniques to store XML data and compare the performance with proposed technique. Our results show that the performance of XML storage can be improved by using a proper clustering technique.

• Spatial Information Research
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• v.19 no.6
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• pp.87-100
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• 2011

Recently, a variety of GML application schemas have been designed in many fields. GML application schemas are specific to the application domain of interest and specify object types using primitive object types defined in the GML standard. GML instance documents are created based on such GML application schemas. The GML instance documents generally require large volumes to represent huge amounts of geographic objects. Thus, it is essential to store such GML instance documents in relational database for efficient management and use. Relational database is relatively convenient to use and is widely applied in various fields. Furthermore, it is fundamentally more efficient than file structure to handle large datasets. Many researches on storing GML documents have been carried out so far. However, there are few studies on storage of GML instance documents. Therefore, in this study, we developed the storage module to store the GML instance documents in relational database.

• Journal of Information Technology Application
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• v.2 no.1
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• pp.55-81
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• 2000

An Electronic Document Management System(EDMS) is an electronic system solution that is used to create, capture, distribute, edit, store and manage documents and related structured data repositories throughout an organization. Recently, documents of any type, such as text, images, and video files, and structured databases can be controlled and managed by an office automation system and an EDMS. Thus, many organizations are already using these information technologies to reduce process cycle-times. But what the organizations are missing is a integrated system the current workflow or office automation system and provides immediate access to and automatic routing of the organization's mission-critical information. This study tried to find out the user's requirements for integrating current information system and relatively new technology, electronic document management system in order to improve business operations, productivity and quality, and reduces waste. integration of electronic document management system(EDMS) and office automation system and proper use of these technological will improve organization's processes, and compress the process cycle-times. For this study a case study was done by a project team in cooperation with a government organization(say A company). Through this case study valuable electronic document management and office automation system requirement have been identified and reported for providing a system model in order to design an Integrated EDMS(IMDMS).

• The KIPS Transactions:PartD
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• v.8D no.4
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• pp.313-326
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• 2001

The XML that was proposed as a next-generation standard for describing Web documents is widely used in various Web-based applications. In addition, XML documents on the Web link each other by hyperlinks. The current works on XML focus on the XML storage system that can efficiently store, manage, and retrieve XML documents. However, the research on the query language that supports the XML links and on the XML retrieval systems to process the XML links, is little conducted until now. In this paper, we propose an extension of an XML query language for expressing the XML link query and its processing scheme. A link query is to retrieve contents from an XML document (a query document) and from the XML documents (referenced documents) that are referred to by the links in the query document. As far as retrieving from the referenced documents is concerned, the current practice is to manually generate queries to get the partial results, and to repeat such a procedure. The purpose of link query processing in this paper is to eliminate the manual work altogether in getting the complete query result. The performance analysis shows that our link query processing strategy outperforms the conventional approach including the manual tasks. The more links to the referenced documents and the more referenced documents there are in the site storing the query document, the more query processing time decreases.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1581-1584
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• 2003

Method which store to database from XML Document, especially related database, is general using extra middle-ware and using context mapping through parsing. It is seemed to most suitable method in an instant.

• Knowledge Management Research
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• v.3 no.1
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• pp.107-119
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• 2002

Under the current dynamic business environment, the corporate knowledge resources are becoming more complicated and diverse. In order to manage these resources effectively, it is necessary to develop an integrative metaschema which accommodates various characteristics of the resources. From this perspective, this paper proposes an integrative metaschema which can manage three types of knowledge resources: schematic model, hypermedia information, and document file. This metaschema can help store and reuse knowledge in a systematic and consistent way. Furthermore, it can support useful and flexible search logics. To demonstrate the usefulness of the metaschema, a prototype system and a real-life bank case are illustrated.