NDLI: Research issues in data provenance for streaming environments

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Content Provider	ACM Digital Library
Author	Bertino, Elisa Lim, Hyo-Sang Moon, Yang-Sae
Abstract	In this paper, we discuss research issues concerning data provenance for streaming environments. In data streams, especially in sensor networks, data provenance is a key information for assessing data quality since it gives important evidence about the origin of the data. We first show our initial approach for assessing trust scores of streaming data based on provenance. We then discuss open researches issues about using and delivering provenance in data streams.
Starting Page	58
Ending Page	62
Page Count	5
File Format	PDF
ISBN	9781605588537
DOI	10.1145/1667502.1667516
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Data stream Trustworthiness Security Data provenance
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Research issues in data provenance for streaming environments