OWL Reasoning Framework over Big Biological Knowledge Network
Joint Authors
Chen, Huajun
Yu, Tong
Gu, Peiqin
Chen, Xi
Wu, Zhaohui
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Recently, huge amounts of data are generated in the domain of biology.
Embedded with domain knowledge from different disciplines, the isolated biological resources are implicitly connected.
Thus it has shaped a big network of versatile biological knowledge.
Faced with such massive, disparate, and interlinked biological data, providing an efficient way to model, integrate, and analyze the big biological network becomes a challenge.
In this paper, we present a general OWL (web ontology language) reasoning framework to study the implicit relationships among biological entities.
A comprehensive biological ontology across traditional Chinese medicine (TCM) and western medicine (WM) is used to create a conceptual model for the biological network.
Then corresponding biological data is integrated into a biological knowledge network as the data model.
Based on the conceptual model and data model, a scalable OWL reasoning method is utilized to infer the potential associations between biological entities from the biological network.
In our experiment, we focus on the association discovery between TCM and WM.
The derived associations are quite useful for biologists to promote the development of novel drugs and TCM modernization.
The experimental results show that the system achieves high efficiency, accuracy, scalability, and effectivity.
American Psychological Association (APA)
Chen, Huajun& Chen, Xi& Gu, Peiqin& Wu, Zhaohui& Yu, Tong. 2014. OWL Reasoning Framework over Big Biological Knowledge Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-459331
Modern Language Association (MLA)
Chen, Huajun…[et al.]. OWL Reasoning Framework over Big Biological Knowledge Network. BioMed Research International No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-459331
American Medical Association (AMA)
Chen, Huajun& Chen, Xi& Gu, Peiqin& Wu, Zhaohui& Yu, Tong. OWL Reasoning Framework over Big Biological Knowledge Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-459331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459331