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	2013
形態種別	著書
査読	査読あり
標題	Semantic specialization in graph-based data model
執筆形態	共著・編著（代表編著を除く）
掲載誌名	Studies in Computational Intelligence
掲載区分	国外
出版社・発行元	Springer International Publishing
巻・号・頁	493,pp.51-64
担当区分	筆頭著者,責任著者
著者・共著者	Teruhisa Hochin,Hiroki Nomiya
概要	This paper proposes the semantic specialization. This specialization makes it possible for a shape graph, which corresponds to a relation schema in the relational data model, to have elements and edges which are different from those of the original shape graphs, but are semantically related to them. Viewpoints (relationship lattices, respectively) are introduced as lattices of concepts for elements (edges) of shape graphs. The specialized elements (edges) are specified as common descendants of original elements (edges) in viewpoints (relationship lattices). The semantic specialization is informally and formally described. It is shown that the conventional specialization is a special case of the semantic specialization. By defining shape graphs through the semantic specialization, the semantically related elements could be handled as if these were of the original shape graphs while the elements have their own appropriate names. © Springer International Publishing Switzerland 2013.
PermalinkURL	http://link.springer.com/content/pdf/10.1007/978-3-319-00804-2_4
researchmap用URL	https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23300037/