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
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;
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
DOI :
10.1109/ICDE.2010.5447857
