Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
»ç¿ëÀÚ Áß½ÉÀÇ ´ëÈÇü IoT ¼ºñ½º ¸Å½¬¾÷ ¸ðµ¨°ú ¿£Áø |
¿µ¹®Á¦¸ñ(English Title) |
A User-Centric Conversational Service Mashup Model and Engine |
ÀúÀÚ(Author) |
±è»óÈÆ
°íÀοµ
Sanghoon Kim
In-Young Ko
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¿ø¹®¼ö·Ïó(Citation) |
VOL 48 NO. 05 PP. 0584 ~ 0594 (2021. 05) |
Çѱ۳»¿ë (Korean Abstract) |
IoT ȯ°æ¿¡¼ »ç¿ëÀÚµéÀº IoT ±â±â¸¦ È°¿ëÇÑ ¼ºñ½º¸¦ Á¦°ø¹ÞÀ» »Ó¸¸ ¾Æ´Ï¶ó ¼ºñ½º ¸Å½¬¾÷À» ÅëÇØ ÀڽŸ¸ÀÇ ¾ÖÇø®ÄÉÀ̼ÇÀ» »ý¼ºÇÏ°íÀÚ ÇÑ´Ù. À̸¦ À§ÇØ ½Ã°¢ÀûÀÎ ¹æ½ÄÀ¸·Î IoT ¼ºñ½º ¸Å½¬¾÷À» »ý¼ºÇÏ´Â ¹æ¹ýµéÀÌ Á¦¾ÈµÇ¾úÀ¸³ª, ½Ã°¢ÀûÀ¸·Î Ç¥ÇöµÇ´Â ¸Å½¬¾÷ÀÇ ½ÇÇà È帧À» ÀÌÇØÇÏ´Â °ÍÀº ½±Áö ¾Ê±â ¶§¹®¿¡ »ç¿ëÀÚµéÀº ¸Å½¬¾÷À» ¸¸µå´Â µ¥ ¾î·Á¿òÀ» °Þ´Â´Ù. º» ¿¬±¸¿¡¼´Â ÇÁ·Î±×·¡¹Ö °æÇèÀÌ ¾ø´Â ÀÏ¹Ý »ç¿ëÀÚµéÀÌ IoT ¼ºñ½º ¸Å½¬¾÷À» »ý¼ºÇϵµ·Ï ÀÚ¿¬¾î¸¦ ÅëÇØ »óÈ£ÀÛ¿ëÇÏ´Â ´ëÈÇü ¼ºñ½º ¸Å½¬¾÷ ¸ðµ¨ ¹× ¿£ÁøÀ» Á¦¾ÈÇÑ´Ù. ´ëÈÇü ¼ºñ½º ¸Å½¬¾÷ ¸ðµ¨Àº »ç¿ëÀÚ ¸í·ÉÀ» ÆľÇÇϱâ À§ÇÑ ³× Á¾·ù Å°¿öµå·Î ±¸¼ºµÇ¸ç, ¿£ÁøÀº ÀÎÅÍ·¢¼Ç °ü¸®ÀÚ, ½Ã¸Çƽ ¸ÅĪ ¸ðµâ, ¼ºñ½º ¸Å½¬¾÷ ¸ðµâ·Î ±¸¼ºµÈ´Ù. º» ¿¬±¸¿¡¼´Â ½º¸¶Æ® Ȩ ȯ°æ¿¡¼ÀÇ ½Ã³ª¸®¿À¸¦ ¹ÙÅÁÀ¸·Î »ç·Ê ¿¬±¸¸¦ ÁøÇàÇÏ¿©, ÀÏ¹Ý »ç¿ëÀÚµéÀÌ ´ëÈÇü ¼ºñ½º ¸Å½¬¾÷ ¸ðµ¨ ¹× ¿£ÁøÀ» ÅëÇØ ´õ ½±°í Æí¸®ÇÏ°Ô ÇÊ¿äÇÑ ¼ºñ½º ¸Å½¬¾÷À» »ý¼ºÇÒ ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In Internet of Things (IoT) environments, users not only consume services that are provided by IoT devices, but also create their own service mashup applications. Several visual-based approaches have been proposed to support users in creating IoT service mashups. However, as it is not easy for users to understand the visually-represented execution flow of a service mashup, they often find it difficult to create them. This study proposes a conversational service mashup model and an engine, which end-users without programming experience can use to create IoT service mashups through a natural language. The conversational service mashup model comprises four types of keywords to identify user commands. The service mashup engine comprises an interaction manager, a sematic matching module, and a service mashup module. To evaluate the proposed model, we conduct a case study based on a smart home IoT environment scenario. The study results confirm that end-users can easily use the conversational service mashup model and the engine to create required IoT service mashups.
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Å°¿öµå(Keyword) |
IoT ȯ°æ
IoT ¼ºñ½º ¸Å½¬¾÷
´ëÈÇü ¼ºñ½º ¸Å½¬¾÷
ÃÖÁ¾ »ç¿ëÀÚ ¼ºñ½º ¸Å½¬¾÷
IoT environment
IoT service mashup
conversational service mashup
end-user services mashup
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