• Journal of the Korea Society of Computer and Information
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• v.9 no.4 s.32
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• pp.27-32
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• 2004

A XML Document has a structure which may be irregular The irregular document structure is difficult for users to know exactly. In this paper, we propose the XML document model and the structure retrieval method for efficient management and structure retrieval of XML documents. So we use fixed-sized LETID having the information of element, describe the structured information retrieval algorithm for parent and child element to represent the structured information of XML documents. Using this method, we represent the structured information of XML document efficiently. We can directly access to specific clement by simple operation, and process various queries. We expect the method to support various structured retrieval of specific element such as parent, child. and sibling elements.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.200-207
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• 2006

A new formal standardization methodology of the structural design document information is proposed in this paper. The standardization process is divided into three steps: pre-process of the collected sample document (CSD), construction of the document structure, and definition of the occurrence of each element in the document. During the pre-process, the detail document contents in the CSD are indexed with templates defined in this study, and the indexed CSD is translated into XML Schema (XSD) formal Afterwards the degree of confidences of all elements between the temporary standard document (TSD) and the translated CSD are calculated by using the XML schema matching algorithm; the TSD is then updated. This second step is repeated until all of the CSD are compared. In the final step, the common elements and unbounded elements are extracted by determining the occurrence of the temporary document elements, and the standardized document schema is exported in the XSD format. The case study dealing with the structural calculation documents show that the ,proposed methodology can be effectively used to build a XML -based information model of structural design documents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.363-367
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• 2002

Represent of mathematical formula used within system handling document that is nonstructural in existent document editing system that is used in electron document processing that use computer is represented or processed by method that is nonstructural of image or text or etc. Such mathematical formular causes relative inconvenience to readablility and reusability of document and processing and exchange of document. Therefore, document editing system is required that can overcome such nonadvantage and apply MathML mathematical formula structure on efficiently structural document. Therefore, designed and implemented that document editing system for structural document creation of XML base that can mathematical formular editing of MathML base in this paper.

• 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.

• Journal of Information Management
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• v.28 no.2
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• pp.20-53
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• 1997

To use SGML, which is international standard of markup language to construct fulltext database in digital libraries, the DTD is developed first. It is based on structure analysis of document. This study develops the SGML DTD for Korean document through document structure analysis of the Journal of the Korean Society for Information Management.

• Journal of the Korean Society for information Management
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• v.12 no.2
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• pp.85-101
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• 1995

Conventional indexing sytstems support only full-text indexing method for electronic documents and do not use logical structure of documents in retrieval. Most electronic documents are in different formats depending on various systems. Also, they only indicate physical style of the document without considering any logical structure. Thus, in the effort to standardize the exchange of documents. IS0 developed SGML(Stadard Generalized Markup Language) which contains information about logical structure of the documents. In this paper, to resolve the disadvantages of full-text indexing method and to use standard document format. indexing system for SGML document is designed and implemented. In this system, user can assign indexing domain on elements, thus the logical structure of document is reflected in retrieving information. Various retrieval methods can be implemented by using the structural information of the document. In addition, automatic indexing for SGML Hangul document is supported in this system

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6D
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• pp.849-856
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• 2011

This paper proposes a method for transforming unstructured text contents of engineering documents, which have complex hierarchical structure of subtitles with various heading symbols, into a semi-structured XML document according to the hierarchical subtitle structure. In order to extract the hierarchical structure from plain text information, this study employed a method of document structure extraction which is an analysis technique of the document structure. In addition, a method for processing enumerative text contents was developed to increase overall accuracy during extraction of the subtitles and construction of a hierarchical subtitle structure. An application module was developed based on the proposed method, and the performance of the module was evaluated with 40 test documents containing structural calculation records of bridges. The first test group of 20 documents related to the superstructure of steel girder bridges as applied in a previous study and they were used to verify the enhanced performance of the proposed method. The test results show that the new module guarantees an increase in accuracy and reliability in comparison with the test results of the previous study. The remaining 20 test documents were used to evaluate the applicability of the method. The final mean value of accuracy exceeded 99%, and the standard deviation was 1.52. The final results demonstrate that the proposed method can be applied to diverse heading symbols in various types of engineering documents to represent the hierarchical subtitle structure in a semi-structured XML document.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.410-422
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• 1997

In this paper, we descried a bottom-up document structure analysis method in bilingual Korean-English document. We proposed a character segmentation method based on the layout information of connected component of each character. In many researches, a document has been analyzed into text blocks and graphics. We analyzed a document into four parts: text, table, graphic, and separator. A text is recursively subdivided into text blocks, text lines, words, and characters. To extract the character in bilingual text, we proposed a new method of word of word separation of Korean or English. Futhermore, we used a character merging and segmentation method in accordance with the properties of Hangul on the Korean word blocks. Experimental results on the various documents show that the proposed method is very effectively operated on the document structure analysis and the character segmentation.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.205-211
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• 2012

The retrieved documents have to be transformed into proper data structure for the clustering algorithms of statistics and machine learning. A popular data structure for document clustering is document-term matrix. This matrix has the occurred frequency value of a term in each document. There is a sparsity problem in this matrix because most frequencies of the matrix are 0 values. This problem affects the clustering performance. The sparseness of document-term matrix decreases the performance of clustering result. So, this research uses the factor score by factor analysis to solve the sparsity problem in document clustering. The document-term matrix is transformed to document-factor score matrix using factor scores in this paper. Also, the document-factor score matrix is used as input data for document clustering. To compare the clustering performances between document-term matrix and document-factor score matrix, this research applies two typed matrices to self organizing map (SOM) clustering.

• The Journal of Information Systems
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• v.10 no.1
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• pp.257-278
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• 2001

An IR(information retrieval) index for dynamic document databases where insertion, deletion, and update of documents happen frequently should be frequently updated. As the conventional structure of IR index is, however, focused on the information retrieval purpose, its structure is inefficient to handle dynamic update of it. In this paper, we propose a new structure for IR Index, we call it Index Graph, which is organized by connecting multiple indexes into a graph structure. By analysis and experiment, we prove the Index Graph is superior to the conventional structure of IR index in the performance of insertion, deletion, and update of documents as well as the performance of information retrieval.