DocumentCode :
1101622
Title :
An Ontology-Supported Misinformation Model: Toward a Digital Misinformation Library
Author :
Zhou, Lina ; Zhang, Dongsong
Author_Institution :
Maryland Baltimore County Univ., Baltimore
Volume :
37
Issue :
5
fYear :
2007
Firstpage :
804
Lastpage :
813
Abstract :
The importance of research on misinformation has received wide recognition. Two major challenges faced by this research community are the lack of theoretical models and the scarcity of misinformation in support of such research. This paper aims to address the aforementioned challenges by conceptualizing misinformation and enabling the interoperability of misinformation. In particular, a representation and a model of misinformation are proposed through surveying, synthesizing, and explicating existing work in the field. Moreover, ontology is used to represent the proposed model. The ontology-supported misinformation model can not only guide future misinformation research but also lay the foundation for building a digital misinformation library by advancing our knowledge on misinformation and by improving its sharing, management, and reuse. In addition, we present a formal methodology for managing misinformation in a digital library, and suggest future research directions related to the misinformation model.
Keywords :
digital libraries; information management; ontologies (artificial intelligence); digital misinformation library; misinformation interoperability; misinformation management; misinformation model; misinformation reuse; misinformation sharing; ontology; Decision making; Electronic mail; Face detection; Humans; Information systems; Information technology; Internet; Knowledge management; Ontologies; Software libraries; Digital library; misinformation; model; ontology;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2007.902648
Filename :
4292235
Link To Document :
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