• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1043-1056
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• 2017

A styled document is a document that contains diverse decorating functions such as different font, colors, tables and images generally authored in a word processor (e.g., MS-WORD, Open Office). Compared to a plain-text document, a styled document enables a human to easily recognize a logical structure such as section, subsection and contents of a document. However, it is difficult for a computer to recognize the structure if a writer does not explicitly specify a type of an element by using the styling functions of a word processor. It is one of the obstacles to enhance document version management systems because they currently manage the document with a file as a unit, not the document elements as a management unit. This paper proposes a machine learning based approach to analyzing the logical structure of a styled document composing of sections, subsections and contents. We first suggest a feature vector for characterizing document elements from a styled document, composing of eight features such as font size, indentation and period, each of which is a frequently discovered item in a styled document. Then, we trained machine learning classifiers such as Random Forest and Support Vector Machine using the suggested feature vector. The trained classifiers are used to automatically identify logical structure of a styled document. Our experiment obtained 92.78% of precision and 94.02% of recall for analyzing the logical structure of 50 styled documents.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.32-39
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• 2015

Construction industry is an aggregate of information that diverse information is integrated and controlled. To implement successful construction projects, it can be said that the information management is very important. In particular, because information of construction sites is controlled in a form of documents, importance of the document management in construction has been increased. But, by controlling information through documents, there are difficult problems in writing and classification of the documents and preservation and utilization of the information. Also, due to incompletion of the information management system, difficulty in systematic info management arises. For this reason, this study intends to suggest the document information breakdown structure for controlling document info efficiently which is generated at construction sites. For this, through the examination of preceding studies, establishment of the concept of the document info breakdown structure, the space breakdown structure, and the info breakdown structure, availability of document information is intended to heighten.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.12
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• pp.1412-1422
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• 1992

This paper describes an implementation of the document class editor based on ODA(Open Document Architecture). For processing, we divided document structure into generic logical structure and generic layout structure as ODA standard. Also this editor could edit document profile. Using the utility which was implemented to investigate the composed document by object. we confirmed the document. And we could verify the ODIF stream data of the document. We designed this editor based on DAP level 2 of international functional standard. This system was implemented in environment of the X window system and the Motif as graphical user interface. This document class editor will be used to create real document having specific document structure.

• The Journal of Engineering Research
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• v.3 no.1
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• pp.21-27
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• 1998

This paper describes the design and implementation of system for editing SGML document instance using document structure information of SGML DTD. For make use of structure window for logical structure expression of document to SGML document editing without editing mistake of user and easy update the using support to editing process of elements, attributes, entities tools and product document, and valid using SGML parser. Also, in order to support Korean and English text using KS 5601. In this paper, the proposed SGML document editing system is used common controls support of window 95 for window user interface

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.11-19
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• 2023

In this paper, we propose the methods of invoice document structure recognition and of making a spreadsheet electronic document. The texts and block location information of word blocks are recognized by an optical character recognition engine through deep learning. The word blocks on the same row and same column are found through their coordinates. The document area is divided through arrangement information of the word blocks. The character recognition result is inputted in the spreadsheet based on the document structure. In simulation result, the item placement through the proposed method shows an average accuracy of 92.30%.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.9
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• pp.180-187
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• 2003

In engineering design environment it is hard to link design data and systems because the types of them are disparate. Therefore, the importance of metadata has increased. Some researches have been executed to develop metadata. But they cannot interact with other metadata and are difficult to extend. The purpose of this paper is to develop a common document structure which represents the general information of mechanical part assembly using XML, and to use it as base documents in order to integrate design data and systems. It is composed of part, assembly and user documents. Part document represents the information of a part independently to part type. Assembly document represents the location of constituent part documents. User document represents user's information. Common documents can be used as a broker between design data and systems, and it can improve the interpretability and reusability of document. We applied the developed common document structure to 2-stage spur gear drive.

• Journal of Korea Multimedia Society
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• v.7 no.10
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• pp.1354-1369
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• 2004

This paper presents a logical structure analysis method which transforms Web documents into XML ones. The proposed method consists of three phases: visual grouping, element identification, and logical grouping. To produce a logical structure more accurately, the proposed method defines a document model that is able to describe logical structure information of topic-specific document class. Since the proposed method is based on a visual structure from the visual grouping phase as well as a document model that describes logical structure information of a document type, it supports sophisticated structure analysis. Experimental results with HTML documents from the Web show that the method has performed logical structure analysis successfully compared with previous works. Particularly, the method generates XML documents as the result of structure analysis, so that it enhances the reusability of documents.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.47-56
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• 2011

To apply Genetic algorithm toward document clustering, appropriate individual structure is required. Document clustering with the genetic algorithms (DCGA) uses the centroid vector type individual structure. New document clustering with the genetic algorithm (NDAGA) uses document allocated individual structure. In this paper, to find more suitable object structure and process for the document clustering, calculation, amount of calculation, run-time, and performance difference between the two methods were analyzed. In this paper, we have performed various experiments using both DCGA and NDCGA. Result of the experiment shows that compared to DCGA, NDCGA provided 15% faster execution time, about 5~10% better performance. This proves that the document allocated structure is more fitted than the centroid vector type structure when it comes to document clustering. In addition, NDCGA showed 15~25% better performance than the traditional clustering algorithms (K-means, Group Average).

• Proceedings of the Korean Printing Society Conference
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• 2001.06a
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• pp.63-77
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• 2001

PDF(Portable Document Format) is a file format that Adobe advances postscritp technique and use in managing document information or electric publishing(internet, CD-ROM, DVD). PDF is a devised document type for being able to read and print anywhere, independent of OS, printer type, resolution, and the kind of computer etc. Because this includes a compressing function, it transfers document through a small size of file in internet or intranet. In addition, that is a file format has various advantages-sharing of information and transfering documents in on line or off line environment. In this paper, we developed electronic document system using PDF format. Electronic document system consists of filter, automatic indexing, special searching system and web server. The information used in this paper is database made using Zwon\`s DocuCom. The filter recognizes various kinds of document structure. And according to property of document, it produces ASCII output. In addition to processing various formats of document, the filter can extract keywords in documents of MS WORD, Excel, Powerpoint, PDF, CAD etc. This filter uses the structure of window printer drive and can extract the information for text, page, font type and size from relevant document. The automatic indexing recognizes the formatted tag of document form ASCII text produced by filter and extracts adequate keyword to structure and property of document. PDF electronic document systems proposed in this paper can be used in Internet, PC communication. Users can choose and read electronic documents by two ways. First, users can choose and read relevant books using PDF electronic document homepage. Second, users can use PDF integrated-search system. User can search after inputing keyword and choose reference field and type of data. But, now, PDF products of Adobe can\`t support the Korean character. If this problem is resolved, we thick that PDF applications system looks active. Although there is limited function in case of using Zwon DocuCom used in this study, we think that there isn\`t a great deal of difficulty in electronic document and building digital database.