NDLI: Towards benefit-based RDF source selection for SPARQL queries

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Content Provider	ACM Digital Library
Author	Hose, Katja Schenkel, Ralf
Abstract	The Linked Data cloud consists of a great variety of data provided by an increasing number of sources. Selecting relevant sources is therefore a core ingredient of efficient query processing. So far, this is either done with additional indexes or by iteratively performing lookups for relevant URIs. None of the existing methods takes additional aspects into account such as the degree of overlap between the sources, resulting in unnecessary requests. In this paper, we propose a sketch-based query routing strategy that takes source overlap into account. The proposed strategy uses sketches and can be tuned towards either retrieving as many results as possible for a given budget or minimizing the number of requests necessary to retrieve all or a certain fraction of the results. Our experiments show significant improvements over state-of-the-art but overlap-ignorant methods for source selection.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450314466
DOI	10.1145/2237867.2237869
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-05-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Semantic web Sparql Rdf Distributed query processing
Content Type	Text
Resource Type	Article

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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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Towards benefit-based RDF source selection for SPARQL queries