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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ Çмú´ëȸ > 2018³â Ãß°è Çмú´ëȸ

2018³â Ãß°è Çмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ÀÌÁ¾ IoT µ¥ÀÌÅÍ Ç¥ÇöÀ» À§ÇÑ ±×·¡ÇÁ ¸ðµ¨:½º¸¶Æ® Ä·ÆÛ½º °ü¸® »ç·Ê ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Graph Model of Heterogeneous IoT Data Representation : A Case Study from Smart Campus Management
ÀúÀÚ(Author) ´µ¿£¹ÝÄû¿§   ´µ¿£ÈÞÁã   ´µ¿£¾çÂê¾û   ±è°æ¹é   Van-Quyet Nguyen   Huu-Duy Nguyen   Giang-Truong Nguyen   Kyungbaek Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 25 NO. 02 PP. 0984 ~ 0987 (2018. 11)
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(Korean Abstract)
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(English Abstract)
In an Internet of Thing (IoT) environment, entities with different attributes and capacities are going to be connected in a highly connected fashion. Specifically, not only the mechanical and electronic devices but also other entities such as people, locations and applications are connected to each other. Understanding and managing these connections play an important role for businesses, which identify opportunities for new IoT services. Traditional approach for storing and querying IoT data is used of a relational database management system (RDMS) such as MySQL or MSSQL. However, using RDMS is not flexible and sufficient for handling heterogeneous IoT data because these data have deeply complex relationships which require nested queries and complex joins on multiple tables. In this paper, we propose a graph model for constructing a graph database of heterogeneous IoT data. Graph databases are purposely-built to store highly connected data with nodes representing entities and edges representing the relationships between these entities. Our model fuses social graph, spatial graph, and things graph, and incorporates the relationships among them. We then present a case study which applies our model for representing data from a Smart Campus using Neo4J platform. Through the results of querying to answer real questions in Smart Campus management, we show the viability of our model.
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