ホウチン　テルヒサ   Teruhisa Hochin   寶珍　輝尚    所属   追手門学院大学  理工学部 情報工学科    職種   教授
言語種別	英語
発行・発表の年月	2019
形態種別	外国学術誌（その他）
査読	査読あり
標題	Semantic schema matching for string attribute with word vectors and its evaluation
執筆形態	共著・編著（代表編著を除く）
掲載誌名	International Journal of Networked and Distributed Computing
掲載区分	国外
巻・号・頁	7(3),pp.100-106
著者・共著者	Kenji Nozaki,Teruhisa Hochin,Hiroki Nomiya
概要	Instance-based schema matching is to determine the correspondences between heterogeneous databases by comparing instances. Heterogeneous databases consist of an enormous number of tables containing various attributes, causing the data heterogeneity. In such cases, it is effective to consider semantic information. In this paper, we propose the instance-based schema matching considering attributes' semantics. We used Word2Vec to match attributes of character strings. The result shows a possibility to detect matching between attributes with high semantic similarity.
DOI	10.2991/ijndc.k.190710.001
ISSN	2211-7938/2211-7946
DBLP ID	journals/ijndc/NozakiHN19
PermalinkURL	https://dblp.uni-trier.de/db/journals/ijndc/ijndc7.html#NozakiHN19