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

doi:10.1145/1989323.1989476

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. © 2011 Authors.

Original language	English
Title of host publication	Proceedings of the ACM SIGMOD International Conference on Management of Data\|Proc. ACM SIGMOD Int. Conf. Manage. Data
Pages	1279-1281
Number of pages	2
DOIs	https://doi.org/10.1145/1989323.1989476
Publication status	Published - 2011
Event	2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens Duration: 1 Jul 2011 → …

Conference

Conference	2011 ACM SIGMOD and 30th PODS 2011 Conference
City	Athens
Period	1/07/11 → …

Keywords

dataspaces
user feedback

Access to Document

10.1145/1989323.1989476

Cite this

@inproceedings{e395423a3e1e4e50a25b9c23f30a0398,

title = "Pay-as-you-go mapping selection in dataspaces",

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. {\textcopyright} 2011 Authors.",

keywords = "dataspaces, user feedback",

author = "Cornelia Hedeler and Khalid Belhajjame and Paton, {Norman W.} and Fernandes, {Alvaro A A} and Embury, {Suzanne M.} and Lu Mao and Chenjuan Guo",

year = "2011",

doi = "10.1145/1989323.1989476",

language = "English",

isbn = "9781450306614",

pages = "1279--1281",

booktitle = "Proceedings of the ACM SIGMOD International Conference on Management of Data|Proc. ACM SIGMOD Int. Conf. Manage. Data",

note = "2011 ACM SIGMOD and 30th PODS 2011 Conference ; Conference date: 01-07-2011",

}

Hedeler, C, Belhajjame, K, Paton, NW, Fernandes, AAA, Embury, SM, Mao, L & Guo, C 2011, Pay-as-you-go mapping selection in dataspaces. in Proceedings of the ACM SIGMOD International Conference on Management of Data|Proc. ACM SIGMOD Int. Conf. Manage. Data. pp. 1279-1281, 2011 ACM SIGMOD and 30th PODS 2011 Conference, Athens, 1/07/11. https://doi.org/10.1145/1989323.1989476

TY - GEN

T1 - Pay-as-you-go mapping selection in dataspaces

AU - Hedeler, Cornelia

AU - Belhajjame, Khalid

AU - Paton, Norman W.

AU - Fernandes, Alvaro A A

AU - Embury, Suzanne M.

AU - Mao, Lu

AU - Guo, Chenjuan

PY - 2011

Y1 - 2011

N2 - 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. © 2011 Authors.

AB - 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. © 2011 Authors.

KW - dataspaces

KW - user feedback

U2 - 10.1145/1989323.1989476

DO - 10.1145/1989323.1989476

M3 - Conference contribution

SN - 9781450306614

SP - 1279

EP - 1281

BT - Proceedings of the ACM SIGMOD International Conference on Management of Data|Proc. ACM SIGMOD Int. Conf. Manage. Data

T2 - 2011 ACM SIGMOD and 30th PODS 2011 Conference

Y2 - 1 July 2011

ER -

Pay-as-you-go mapping selection in dataspaces

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