DocumentCode
2080936
Title
Credibility-enhanced curated database: Improving the value of curated databases
Author
Ni, Qun ; Bertino, Elisa
Author_Institution
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
fYear
2010
fDate
1-6 March 2010
Firstpage
784
Lastpage
795
Abstract
In curated databases, annotations may contain opinions different from those in sources. Moreover, annotations may contradict each other and have uncertainty. Such situations result in a natural question: ¿Which opinion is most likely to be correct?¿ In this paper, we define a credibility-enhanced curated database and propose an efficient method to accurately evaluate the correctness of sources and annotations in curated databases.
Keywords
database management systems; uncertainty handling; annotations; credibility enhanced curated database; uncertainty; Computer science; Dictionaries; Encyclopedias; Genetics; Humans; Libraries; Ontologies; Relational databases; Spatial databases; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2010 IEEE 26th International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-5445-7
Electronic_ISBN
978-1-4244-5444-0
Type
conf
DOI
10.1109/ICDE.2010.5447857
Filename
5447857
Link To Document