Pay-as-you-go mapping selection in dataspaces

Cornelia Hedeler*, Khalid Belhajjame, Norman W. Paton, Alvaro A.A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

The vision of dataspaces proposes an alternative to classical data integration approaches with reduced up-front costs followed by incremental improvement on a pay-as-you-go basis. In this paper, we demonstrate DSToolkit, a system that allows users to provide feedback on results of queries posed over an integration schema. Such feedback is then used to annotate the mappings with their respective precision and recall. The system then allows a user to state the expected levels of precision (or recall) that the query results should exhibit and, in order to produce those results, the system selects those mappings that are predicted to meet the stated constraints.

Original languageEnglish
Title of host publicationProceedings of SIGMOD 2011 and PODS 2011
PublisherAssociation for Computing Machinery
Pages1279-1281
Number of pages3
ISBN (Print)9781450306614
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece
Duration: 12 Jun 201116 Jun 2011

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2011 ACM SIGMOD and 30th PODS 2011 Conference
Country/TerritoryGreece
CityAthens
Period12/06/1116/06/11

Keywords

  • dataspaces
  • user feedback

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