• Journal of Korea Multimedia Society
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• 제4권5호
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• pp.439-445
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• 2001

In this paper, we suggest a method for dynamic generation of SMIL documents by user profiles on the web. Generated multimedia documents are based on the SMIL (Synchronized Multimedia Integration Language) that are recommended by the W3C. The method generates automatically XSLT documents according to user profiles. SMIL documents are produced on real-time by integration of the XSLT documents and the XML documents that are made already. Most of conventional web-based documents are based on the HTML that is difficult to support reusability of documents are relation among multimedia abject. However, the suggested method is based on the XML, and so it supports reusability of documents and produces efficiently various SMIL-based multimedia documents. Application for the suggested method are as follows; Electronic commerce, tele-lecture, a web-based document editing, etc.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제8권5호
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• pp.1092-1097
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• 2007

Ontology construction has need of many time and cost. This is why it is difficult to build a commercial semantic web. To solve the problem, we must automatically construct ontology. In this paper, we propose an automatic ontology generation system from web documents containing important informations of the web. The proposed system has two steps. One is simplification process which generates simple sentences from all sentences in the documents. Another is ontology generation process with transfer rules. Our system is very useful fur application domains in which many documents are updated or inserted frequently such as online shopping malls.

• Asia pacific journal of information systems
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• 제13권1호
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• pp.213-230
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• 2003

Most of existing expert systems developed for Web use CGI-based techniques and this frequently makes them suffer from the overburden of commercial Web servers, which deal with large-scale services. However, since HTML-based inference technique represents expert's knowledge by hyperlinks among HTML documents, the hypertext function of the Web can perform the inference efficiently in terms of time and space without the help of additional inference engines. In spite of such benefits, when the expert's knowledge is relatively large and/or complicated, the HTML-based inference technique has usually become to have a hard time of dealing with a lot of HTML documents because generation and management tasks of the numerous HTML documents would cause big trouble to the knowledge engineer. To resolve this problem, we developed an automatic generation and management tool for Web-based inference sites, called WeBIS. With this tool, a knowledge engineer can input and edit expert's knowledge using Expert's Diagram on the GUI(Graphical User Interface) environment and automatically generate hyper-linked HTML documents for Web-based inference from the Expert's Diagram.

• The Transactions of the Korea Information Processing Society
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• 제6권2호
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• pp.292-298
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• 1999

An information structure of large size hypermedia application is usually hierarchical, and the sibling nodes in this structure have same or similar tags and contents. a word "개그" that means the common set of sibling nodes in the hierarchical information structure is used in this paper. It proposes a design method that divides form and content from nodes and it proposes HTML page generation algorithm from forms and contents. This method has reusability of form, maintainability of documents and reduction of cost for authoring.

• The KIPS Transactions:PartD
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• 제13D권3호
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• pp.299-308
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• 2006

As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.

• Journal of Korea Technology Innovation Society
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• 제8권2호
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• pp.605-622
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• 2005

Because, next generation web, semantic web consists of documents with semantic information, it enables computer interpret the contents of the documents, so that the information retrieval, interpretation and integration can be automated. The web documents with the semantic information may be made in ontology. In this paper, collaborative approach among the ontology design techniques is more excellent than the other techniques because it design the ontology through continuous evaluations and modification in terms of multiple views. So, we propose the process of designing and implementing the ontology for specific domain, which is Yeomigi tour place. Delphi technique, that is a kind of collaborative approach, is used when the ontology is designed.

• The Journal of Korean Association of Computer Education
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• 제7권4호
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• pp.67-75
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• 2004

XML is being accepted as a standard for the next generation web documents, as it enables to extend the document structures. However, general users have difficulties in writing valid and well-formed XML documents, since the documents should satisfy the grammatical constraints of XML. In this paper, we present a syntax-directed XML document editor which will ease users in writing valid XML documents. The editor will help users, and increase productivity in writing XML documents.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.268-273
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• 2013

In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

• Journal of KIISE
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• 제44권7호
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• pp.674-679
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• 2017

In big-data environments wherein large amounts of text documents are produced daily, titles are very important clues that enable a prompt catching of the key ideas in documents; however, titles are absent for numerous document types such as blog articles and social-media messages. In this paper, a title-generation model for which sequence-to-sequence RNNs with attention and copying mechanisms are employed is proposed. For the proposed model, input sentences are encoded based on bi-directional GRU (gated recurrent unit) networks, and the title words are generated through a decoding of the encoded sentences with keywords that are automatically selected from the input sentences. Regarding the experiments with 93631 training-data documents and 500 test-data documents, the attention-mechanism performances are more effective (ROUGE-1: 0.1935, ROUGE-2: 0.0364, ROUGE-L: 0.1555) than those of the copying mechanism; in addition, the qualitative-evaluation radiative performance of the former is higher.

• Proceedings of the KSRS Conference
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.730-733
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• 2004

Recently XML (eXtensible Markup Language) is becoming the standard for exchanging the documents on the web. And as the amount of information is increasing because of the development of the technique in the Internet, semantic web is becoming to appear for more exact result of information retrieval than the existing one on the web. Ontology which is the basis of the semantic web provides the basic knowledge system to express a particular knowledge. So it can show the exact result of the information retrieval. Ontology defines the particular concepts and the relationships between the concepts about specific domain and it has the hierarchy similar to the taxonomy. In this paper, we propose the generation of semi-automatic ontology based on XML documents that are interesting to many researchers as the means of knowledge expression. To construct the ontology in a particular domain, we suggest the algorithm to determine the domain. So we determined that the domain of ontology is to extract the information of movie on the web. And we used the generalized association rules, one of data mining methods, to generate the ontology, using the tag and contents of XML documents. And XTM (XML Topic Maps), ISO Standard, is used to construct the ontology as an ontology language. The advantage of this method is that because we construct the ontology based on the terms frequently used documents related in the domain, it is useful to query and retrieve the related domain.