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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/12918

タイトル: 医療知識基盤の構築に向けた疾患オントロジーのLinked Open Data化
著者: 古崎, 晃司
山縣, 友紀
国府, 裕子
今井, 健
大江, 和彦
溝口, 理一郎
キーワード: ontology
disease ontology
causal chainviewpoint
linked data
発行日: 2014
出版者: 人工知能学会
誌名: 人工知能学会論文誌
巻: 29
号: 4
開始ページ: 396
終了ページ: 405
DOI: 10.1527/tjsai.29.396
抄録: Publishing open data as linked data is a significant trend in not only the Semantic Web community but also other domains such as life science, government, media, geographic research and publication. One feature of linked data is the instance-centric approach, which assumes that considerable linked instances can result in valuable knowledge. In the context of linked data, ontologies offer a common vocabulary and schema for RDF graphs. However, from an ontological engineering viewpoint, some ontologies offer systematized knowledge, developed under close cooperation between domain experts and ontology engineers. Such ontologies could be a valuable knowledge base for advanced information systems. Although ontologies in RDF formats using OWL or RDF(S) can be published as linked data, it is not always convenient to use other applications because of the complicated graph structures. Consequently, this paper discusses RDF data models for publishing ontologies as linked data. As a case study, we focus on a disease ontology in which diseases are defined as causal chains.
Rights: Copyright (C) 2014 人工知能学会. 古崎晃司, 山縣友紀, 国府裕子, 今井健, 大江和彦, 溝口理一郎, 人工知能学会論文誌, 29(4), 2014, 396-405. http://dx.doi.org/10.1527/tjsai.29.396
URI: http://hdl.handle.net/10119/12918
資料タイプ: publisher
出現コレクション:h10-1. 雑誌掲載論文 (Journal Articles)


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