人工知能学会第二種研究会資料
Online ISSN : 2436-5556
Linked Data技術による異常状態オントロジーと生命医学系リソースの統合への試み
山縣 友紀古崎 晃司溝口 理一郎今井 健大江 和彦駒谷 和範
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研究報告書・技術報告書 フリー

2015 年 2015 巻 SWO-035 号 p. 06-

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Recently, biomedical terminologies and ontologies have been publishing a wide variety of data. For the integration of them, it is important to overcome the conceptual discrepancy. In this article, we discuss ontological issues of integrating knowledge of abnormal states in existing biomedical resources. Next, we show an approach for the solution with our ontology of abnormal states. Then, by applying Linked Data technique, we develop a prototype system for linking our ontology as a hub of existing resources. Our approach will bring benefits for promoting interoperability across heterogeneous data according to the meaning of concepts and contribute to developing knowledge integration infrastructure for disease.

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