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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

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ÇѱÛÁ¦¸ñ(Korean Title) XML ¹®¼­ Å°¿öµå °¡ÁßÄ¡ ºÐ¼® ±â¹Ý ¹®´Ü ÃßÃâ ¸ðµ¨
¿µ¹®Á¦¸ñ(English Title) XML Document Keyword Weight Analysis based Paragraph Extraction Model
ÀúÀÚ(Author) ¹Ú¼¼ÀÏ   ÀåÁ¾¿í   Se-il Park   Jong-wook Jang   ÀÌÁ¾¿ø   °­ÀνĠ  Á¤È¸°æ   Jongwon Lee   Inshik Kang   Hoekyung Jung  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 11 PP. 2133 ~ 2138 (2017. 11)
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(Korean Abstract)
±âÁ¸ÀÇ XML ¹®¼­³ª ´Ù¸¥ ¹®¼­´Â ´Ü¾î¸¦ Áß½ÉÀ¸·Î ºÐ¼®ÀÌ ÁøÇàµÇ¾ú´Ù. ÀÌ´Â ÇüÅÂ¼Ò ºÐ¼®±â¸¦ È°¿ëÇÏ¿© ±¸ÇöÀÌ °¡´ÉÇϳª ¹®¼­ ³»¿¡ ±âÀçµÇ¾î ÀÖ´Â ¸¹Àº ´Ü¾î¸¦ ºÐ·ùÇÒ »Ó ¹®¼­ÀÇ ÇÙ½É ³»¿ëÀ» ÆľÇÇϱ⿡´Â ¾î·Á¿òÀÌ ÀÖ´Ù. »ç¿ëÀÚ°¡ ¹®¼­¸¦ È¿À²ÀûÀ¸·Î ÀÌÇØÇϱâ À§Çؼ­´Â ÁÖ¿ä ´Ü¾î°¡ Æ÷ÇԵǾî ÀÖ´Â ¹®´ÜÀ» ÃßÃâÇÏ¿© »ç¿ëÀÚ¿¡°Ô º¸¿©ÁÖ¾î¾ß ÇÑ´Ù. º» ³í¹®¿¡¼­ Á¦¾ÈÇÏ´Â ½Ã½ºÅÛÀº Á¤±ÔÈ­ µÈ XML ¹®¼­ ³»¿¡ Å°¿öµå¸¦ °Ë»öÇÏ°í »ç¿ëÀÚ°¡ ÀÔ·ÂÇÑ Å°¿öµåµéÀÌ Æ÷ÇԵǾî ÀÖ´Â ¹®´ÜÀ» ÃßÃâÇÏ¿© »ç¿ëÀÚ¿¡°Ô º¸¿©ÁØ´Ù. ±×¸®°í °Ë»ö¿¡ »ç¿ëµÈ Å°¿öµåµéÀÇ ºóµµ¼ö¿Í °¡ÁßÄ¡¸¦ »ç¿ëÀÚ¿¡°Ô ¾Ë·ÁÁÖ°í ÃßÃâÇÑ ¹®´ÜÀÇ ¼ø¼­¿Í Áߺ¹ Á¦°Å ±â´ÉÀ» ÅëÇØ »ç¿ëÀÚ°¡ ¹®¼­¸¦ ÀÌÇØÇϴµ¥ ¹ß»ýÇÒ ¼ö ÀÖ´Â ¿À·ù¸¦ ÃÖ¼ÒÈ­ÇÏ¿´´Ù. Á¦¾ÈÇÏ´Â ½Ã½ºÅÛÀº »ç¿ëÀÚ°¡ ¹®¼­ Àüü¸¦ ÀÐÁö ¾Ê°í ¹®¼­¸¦ ÀÌÇØÇÒ ¼ö ÀÖ°Ô ÇÏ¿© ¹®¼­¸¦ ÀÌÇØÇϴµ¥ ÇÊ¿äÇÑ ½Ã°£°ú ³ë·ÂÀ» ÃÖ¼ÒÈ­ÇÒ ¼ö ÀÖÀ» °ÍÀ¸·Î »ç·áµÈ´Ù.
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(English Abstract)
The analysis of existing XML documents and other documents was centered on words. It can be implemented using a morpheme analyzer, but it can classify many words in the document and cannot grasp the core contents of the document. In order for a user to efficiently understand a document, a paragraph containing a main word must be extracted and presented to the user. The proposed system retrieves keyword in the normalized XML document. Then, the user extracts the paragraphs containing the keyword inputted for searching and displays them to the user. In addition, the frequency and weight of the keyword used in the search are informed to the user, and the order of the extracted paragraphs and the redundancy elimination function are minimized so that the user can understand the document. The proposed system can minimize the time and effort required to understand the document by allowing the user to understand the document without reading the whole document.
Å°¿öµå(Keyword) ÆÛ½º³Î ¸ðºô¸®Æ¼   °úºÎÇÏ   ¾îÇø®ÄÉÀ̼Ǡ  ¾Ë¸²   ASmart mobility   Overload   Application   Notification   ¹®´Ü ÃßÃâ   ¹®¼­ ºÐ¼®   ¾ÐÃà   Å°¿öµå °¡ÁßÄ¡   Å°¿öµå ºóµµ¼ö   Compression   Document Analysis   Keyword Frequency   Keyword Weight   Paragraph Extraction  
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