Header

UZH-Logo

Maintenance Infos

TRAMP: understanding the behavior of schema mappings through provenance


Glavic, B; Alonso, G; Miller, R J; Haas, L M (2010). TRAMP: understanding the behavior of schema mappings through provenance. In: VLDB '10: 36th International Conference on Very Large Data Bases, Singapore, 13 September 2010 - 17 September 2010, 1314-1325.

Abstract

Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, we present TRAMP (TRAnsformation Mapping Provenance), an extensive suite of tools supporting the debugging and tracing of schema mappings and transformation queries. TRAMP combines and extends data provenance with two novel notions, transformation provenance and mapping provenance, to explain the relationship between transformed data and those transformations and mappings that produced that data. In addition we provide meta-querying to support querying of transformations, data, and all forms of provenance. We formally define transformation and mapping provenance, present an efficient implementation of both forms of provenance along with meta-querying, and evaluate the resulting system.

Abstract

Though partially automated, developing schema mappings remains a complex and potentially error-prone task. In this paper, we present TRAMP (TRAnsformation Mapping Provenance), an extensive suite of tools supporting the debugging and tracing of schema mappings and transformation queries. TRAMP combines and extends data provenance with two novel notions, transformation provenance and mapping provenance, to explain the relationship between transformed data and those transformations and mappings that produced that data. In addition we provide meta-querying to support querying of transformations, data, and all forms of provenance. We formally define transformation and mapping provenance, present an efficient implementation of both forms of provenance along with meta-querying, and evaluate the resulting system.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

0 downloads since deposited on 24 Feb 2011
0 downloads since 12 months

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Computer Science (miscellaneous)
Physical Sciences > General Computer Science
Language:English
Event End Date:17 September 2010
Deposited On:24 Feb 2011 16:21
Last Modified:23 Jan 2022 18:21
OA Status:Closed
Publisher DOI:https://doi.org/10.14778/1920841.1921003
Other Identification Number:1417