NDLI: Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey

Content Provider	IEEE Xplore Digital Library
Author	Jingshan Huang Dejing Dou Lei He Jiangbo Dang Hayes, P.
Copyright Year	2010
Description	Author affiliation: Computer and Information Science Department, University of Oregon, Eugene, 97403, USA (Dejing Dou) \|\| School of Computer and Information Sciences, University of South Alabama, Mobile, 36688, USA (Jingshan Huang) \|\| Institute for Human and Machine Cognition, Pensacola, Florida 32502, USA (Hayes, P.) \|\| National Institutes of Health, Bethesda, Maryland 20892, USA (Lei He) \|\| Siemens Corporation, Princeton, New Jersy 08540, USA (Jiangbo Dang)
Abstract	Worldwide health scientists are producing, accessing, analyzing, integrating, and storing massive amounts of digital medical data daily, through observation, experimentation, and simulation. If we were able to effectively transfer and integrate data from all possible resources, then a deeper understanding of all these data sets and better exposed knowledge, along with appropriate insights and actions, would be granted. Unfortunately, in many cases, the data users are not the data producers, and they thus face challenges in harnessing data in unforeseen and unplanned ways. In order to obtain the ability to integrate heterogeneous data, and thereby efficiently revolutionize the traditional medical and biological research, new methodologies built upon the increasingly pervasive cyberinfrastructure are required to conceptualize traditional medical and biological data, and acquire the “deep” knowledge out of original data thereafter. As formal knowledge representation models, ontologies can render invaluable help in this regard. In this paper, we summarize the state-of-the-art research in ontological techniques and their innovative application in medical and biological areas.
Starting Page	2203
Ending Page	2208
File Size	139782
Page Count	6
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases medical informatics Biological system modeling knowledge sharing Semantics bioinformatics Ontologies heterogeneous semantics Bioinformatics Informatics ontology matching semantic integration
Content Type	Text
Resource Type	Article

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