NDLI: Approximate Queries on Big Heterogeneous Data

Content Provider	IEEE Xplore Digital Library
Author	Kantere, V.
Copyright Year	2015
Description	Author affiliation: Univ. of Geneva, Geneva, Switzerland (Kantere, V.)
Abstract	The fundamental assumption for query rewriting in heterogeneous environments is that the mappings used for the rewriting are complete, i.e., Every relation and attribute mentioned in the query is associated, through mappings, to relations and attributes in the schema of the source that the query is rewritten. In reality, it is rarely the case that such complete sets of mappings exist between sources, and the presence of partial mappings is the norm rather than the exception. So, practically, existing query answering algorithms fail to generate any rewriting in the majority of cases. This becomes an insurmountable problem in the new era of Big Data, where we need query answers from various heterogeneous data sources. The question is then whether we can somehow approximate queries that cannot be rewritten as such (due to insufficient mappings), and whether we can identify the interesting query approximations, given the mappings at hand. In this paper, we present ongoing work on the proposal of techniques to compute query approximations of an input query that can be rewritten and evaluated in an environment of collaborating autonomous and heterogeneous big data sources. We are extending traditional techniques for query rewriting, and we propose heuristic algorithms to compute and evaluate these approximations.
Starting Page	712
Ending Page	715
File Size	167808
Page Count	4
File Format	PDF
e-ISBN	9781467372787
DOI	10.1109/BigDataCongress.2015.115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Heuristic algorithms XML Query rewriting Approximate query answering Approximation algorithms Airports Big data Approximation methods Mapping big data
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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

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