概念階層グラフを利用した検索意図の反映が可能な蛋白質構造解析文献検索手法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/03/01

タイトル(英語): A Method of Retrieving Articles on Protein Structure Analysis from Query Articles Using a Concept Graph

著者名: 伊藤　あずさ（神戸大学大学院システム情報学研究科），大川　剛直（神戸大学大学院システム情報学研究科）

著者名(英語): Azusa Ito (Graduate School of System Informatics Kobe University), Takenao Ohkawa (Graduate School of System Informatics Kobe University)

キーワード: 文献検索，意図特定，蛋白質構造解析文献，概念階層グラフ　　article-based retrieval method，identification of users' intention，articles on protein structure analysis，concept graph

要約(英語): In recent years, the number of articles that describe protein structures and functions is rapidly increasing. Retrieval of desired articles from a large collection of articles is highly needed. This paper presents an article-based retrieval method for articles on protein structure analysis. In this method, an article is considered as a set of structural and functional concepts of protein using Gene Ontology and other databases, and the similarity between articles can be evaluated by using a concept graph generated by integrating Gene Ontology and InterPro database. An article includes various types of information, which makes it difficult to decide the viewpoint from which the users intend to retrieve articles in the article-based retrieval. To solve this problem, our proposed method use more than one article as a single query to clarify users' intention in the retrieval request,which improves the retrieval accuracy. The effectiveness of our proposed method was confirmed by evaluating its accuracy through retrieval experiments, especially for retrieving more recent articles.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.3 （2015）

本誌掲載ページ: 340-348 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/3/135_340/_article/-char/ja/