• The Journal of Information Technology
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• v.4 no.4
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• pp.89-100
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• 2001

XML (extensible Markup Language) is selected and published as a representative standard of electronic documents by W3C (World Wide Web Consortium). The structured information can be created and also transferred in XML documents. By utilizing XML, you can express the meaningful information unit as a structure comparing existed file typed information. With structured information, you can also manage retrieve, and reposit documents. According to the above facts, in this paper, it is the purpose to design and implement XML documents repository system to reposit and retrieve using structured information of XML documents. As a model it was designed to be stored by element unit which is the basic unit of documents and was also designed to retrieve the stored XML information by structured unit. It was, especially, designed to manage and reposit the structure of various documents effectively through creating schema as to DTD(Document Type Definition) and instance.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1786-1797
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• 2010

Automatic understanding of contents in document image is a very hard problem due to involvement with mathematically challenging problems originated mainly from the over-determined system induced by document segmentation process. In both academic and industrial areas, there have been incessant and various efforts to improve core parts of content retrieval technologies by the means of separating out segmentation related issues using semi-structured document, e.g., invoice,. In this paper we proposed classification models for text lines on invoice document in which text lines were clustered into the five categories in accordance with their contents: purchase order header, invoice header, summary header, surcharge header, purchase items. Our investigation was concentrated on the performance of machine learning based models in aspect of linear-discriminant-analysis (LDA) and non-LDA (logic based). In the group of LDA, na$\"{\i}$ve baysian, k-nearest neighbor, and SVM were used, in the group of non LDA, decision tree, random forest, and boost were used. We described the details of feature vector construction and the selection processes of the model and the parameter including training and validation. We also presented the experimental results of comparison on training/classification error levels for the models employed.

• Journal of the Korea Computer Industry Society
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• v.2 no.8
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• pp.1089-1098
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• 2001

Structure information contained in a structured document supports various access paths to document. In order to use structure information contained in a structured document, it is required to construct an index structural on document structures. Content indexing and structure indexing per document require high memory overhead. Therefore, processing of pure structure queries based on document structure like relationship between elements or element orders, low memory overhead for indexing are required. This paper suggests the GDIT(Global Document Instance Tree) data structure and indexing scheme about structure of document which supports low memory overhead for indexing and powerful types of user queries. The structure indexing scheme only index the lowest level element of document and does not effect number of document having retrieval element. Based on the index structure, we propose an query processing algorithm about pure structure, proof the indexing schemes keeps up indexing efficient in terms of space. The proposed index structure bases GDR concept and uses index technique based on GDIT.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.85-93
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• 2001

As progressing rapidly to the information society and increasing greatly the amount of information, many researchers have been made utilizing XML to store and retrieval the information effectively. But, many other existing method could not support various structured retrieval method for specific parent, children and sibling nodes. In this paper, we propose (1)an effective method of representation for structured information and of indexing mechanism using OETID(Ordered Element Type ID) for effective management and structured retrieval of the XML documents. Also it contains another proposal that is (2) a documents integration mechanism for retrieval result and storing technique to store structural information of the XML documents. With our methods, we could effectively represent structural information of XML documents, and could directly access the specific elements and process various queries by simple operations.

• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.209-226
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• 2007

XML documents format on the Web provides a mechanism to impose their content and logical structure information. Therefore, an XML processor provides access to their content and structure. The purpose of this study is to investigate the usefulness of structural hints in the leaf node language model-based XML document retrieval. In order to this purpose, this experiment tested the performances of the leaf node language model-based XML retrieval system to compare the queries for a topic containing only content-only constraints and both content constrains and structure constraints. A newly designed and implemented leaf node language model-based XML retrieval system was used. And we participated in the ad-hoc track of INEX 2005 and conducted an experiment using a large-scale XML test collection provided by INEX 2005.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.159-176
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• 2009

The aim of this study was to investigate the users' behaviour when interacting with elements based on XML documents retrieval system and develop approaches for XML retrieval which are effective in user-based environment. We followed the experimental guidelines from the INEX 2006 iTrack organizers. For the research goals, 16 responses from the questionnaires per subject and system logs were collected and analyzed using Excel and SPSS 17.0.

• Journal of KIISE:Databases
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• v.30 no.5
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• pp.532-539
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• 2003

The paper proposes a pre-processing method for efficient processing of XML queries in information retrieval systems with a large amount of XML documents. For the pre-processing, we use a signature-based approach. In the conventional (flat document-based) information retrieval systems, user queries consist of keywords and boolean operators, and thus signatures are structured in a flat manner. However, in XML-based information retrieval systems, the user queries have the form of path query. Therefore, the flat signature cannot be effective for XML documents. In the paper, we propose a structured signature for XML documents. Through experiments, we evaluate the performance of the proposed method.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2574-2586
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• 1999

Since a SGML document is composed of elements, the primitive unit of information, SGML information retrieval should support retrieval on element as well as document. In addition, SGML index organization should support the partial insertion and deletion of document for the dynamic environment. For this, we propose a SGML index organization suited to structured-based retrieval for dynamic environment. Based on the proposed index organization, we design a SGML index manager to support content-based and structure-based retrieval efficiently. We implement the SGML index manager based on O2 storage system and compare the performance of our SGML index manager with the conventional SGML index manager. According to the performance comparison, it is shown that the proposed index structure achieves better retrieval performance than the conventional K-ary complete tree.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.27-37
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• 2004

XML has been proposed as a document standard for the representation and exchange of data on the WWW, and also becoming a standard for the search and reuse of scattered documents. When implementing a XML contents management system, special consideration should be imposed on how to model data and how to store the modelled data for effective and efficient management of the semi-structured data. In this paper, we proposed a new data model for the storage and search of XML document data. This proposed data model could represent both of data and structure views of XML documents, and be applied to the new data system for XML documents as well as the existing data systems.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.501-509
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• 2002

SGML(ISO 8879) has been proliferated to support various document styles and to transfer documents into different platforms. SGML documents have logical structure information in addition to contents. As SGML documents are widely used, there is an increasing need for database storage and retrieval system using the logical structure of documents. However. traditional search engines using document indexes cannot exploit the logical structure. In this Paper, we have developed an SGML document storage system, which is DTD-independent and store the document type and the document instance separately by using Grove which is the document model for DSSSL and HyTime. We have used the Object Store, an object-oriented DBMS, to store the structure information appropriately without any loss of structural information. Also, we have supported a index structure for search efficiency like the relational DBMS, and constructed an effective user interface which combines content-based search with structure-based search.