DocumentCode :
226868
Title :
An efficient query mechanism of data provenance based on dependency view
Author :
Xin Gao ; Xuan Sun
Author_Institution :
Nat. Comput. Network Emergency Response, Tech. Team/Coordination Center of China, Beijing, China
fYear :
2014
fDate :
24-26 Sept. 2014
Firstpage :
269
Lastpage :
273
Abstract :
Data provenance is useful for data analysis, including auditing, debugging, evaluating the trust and quality, access control and so on. For the scale of data keep increasing, data provenance also become large and constantly growing, and it brings challenges to the efficiency of provenance tracking which is the important base of data analysis. This paper proposes a kind of dependency view based on OPM to extract a global data provenance description for data process instance with more correlation information among the elements of data provenance, and then provides an efficient query mechanism based on dependency view of data provenance to support provenance tracking by constructing a set of query operations for both forward and backward provenance tracking.
Keywords :
Big Data; data analysis; query processing; OPM; access control; auditing; backward provenance tracking; correlation information; data analysis; data provenance; debugging; dependency view; forward provenance tracking; global data provenance description; quality evaluation; query mechanism; trust evaluation; Big data; Collaboration; Context; Data mining; Distributed databases; Handheld computers; Runtime; Big Data; dependency view; provenance; query;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2014 14th International Symposium on
Conference_Location :
Incheon
Type :
conf
DOI :
10.1109/ISCIT.2014.7011914
Filename :
7011914
Link To Document :
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