Abstract
Abstract As association between sensor networks that collect environmental information by using numberous sensor nodes and smartphones that are equipped with various sensors, many applications understanding users’context have been developed to interact users and their environments. Collected data should be stored with XML formatted metadata containing semantic information to share the collected data. In case of distance based clustering schemes, the efficiency of data collection decreases because metadata files are extended and changed as the purpose of each system developer. In this paper, we proposed a clustering scheme considering the structural similarity of metadata to reduce clustering construction time and improve the similarity of metadata among member nodes in a cluster. Key Words : Clustering, Metadata, Structural Similarity, Smartphone Sensing * 정회원, 호서대학교, 컴퓨터정보공학부 ** 정회원, 한성대학교, 컴퓨터공학과접수일자: 2014년 9월 29일, 수정일자: 2014년 10월 29일게재확정일자: 2014년 12월 12일Received: 29 September, 2014 / Revised: 29 October, 2014Accepted: 12 December, 201
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