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Architecture & Urban Research Institute

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³í¹®¸í ¸ÞŸµ¥ÀÌÅͱâ¹Ý Á¤º¸±¸Á¶È­¸¦ ÅëÇÑ Áö´ÉÇü ģȯ°æ ¹ý·ÉÁ¤º¸ °Ë»ö / Intelligent Information Search of Environmental Regulations through Metadata-based Information Structurization
ÀúÀÚ¸í ¿ì»óÁØ(Woo, Sang-june) ; ¿À¹ÎÈ£(Oh, Minho)½Äº°ÀúÀÚ ; ±èÇѼö(Kim, Han Soo)½Äº°ÀúÀÚ ; ÀÌÀç¿í(Lee, Jaewook)
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¼ö·Ï»çÇ× Çѱ¹BIMÇÐȸ ³í¹®Áý, Vol.5 No.1 (2015-03)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(8) ÃÑÆäÀÌÁö(8)
ISSN 2288-1697
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ÁÖÁ¦¾î ¸ÞŸµ¥ÀÌÅÍ ; Áö´ÉÇü°Ë»ö ; ģȯ°æ ¹ý·ÉÁ¤º¸ ; Á¤º¸±¸Á¶È­ ; Metadata ; Intelligence Search ; Environmental Regulations ; Information Stucturization
¿ä¾à2 With the emergence of environment-friendly paradigms, many countries around the world have enacted various laws to take care of environmental pollution-related problems. The goal of these environmental laws and regulations was to properly respond to rapid environmental pollution. Because of the simultaneous enactment of these laws on diverse pollution sources, however, a variety of problems, including an unclear correlation among these laws, have occurred. As a result, workers have found it hard to collect and use the related laws and regulations. Therefore, this study proposes a metadata-based information retrieval method for the efficient search of environment-friendly laws and regulations. The laws and regulations were structured using metadata from users, business stage, topic and department. These were obtained through semantic analysis on environment-friendly laws and regulations, and then an intelligent retrieval approach was utilized. To verify the retrieval plan, a test case was conducted, and improvement in retrieval accuracy against the conventional system was confirmed. It appears that the proposed plan will improve productivity in the construction industry by improving accuracy in retrieving environment-friendly laws and regulations.
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DOI http://dx.doi.org/10.13161/kibim.2015.5.1.008