This paper presents the ongoing research on the design and development of a Provenance Management component, PM_MOMIS, for the MOMIS Data Integration System. MOMIS has been developed by the DBGROUP of the University of Modena and Reggio Emilia (www.dbgroup.unimore.it). An open source version of the MOMIS system is delivered and maintained by the academic spin-off DataRiver (www.datariver.it).PM_MOMIS aims to provide the provenance management techniques supported by two of the most relevant data provenance systems, the "Perm" and "Trio" systems, and extends them by including the data fusion and conflict resolution techniques provided by MOMIS. PM_MOMIS functionalities have been studied and partially developed in the domain of genotypic and phenotypic cereal-data management within the CEREALAB project. The CEREALAB Data Integration Application integrates data coming from different databases with MOMIS, with the aim of creating a powerful tool for plant breeders and geneticists. Users of CEREALAB played a major role in the emergence of real needs of provenance management in their domain.We defined the provenance for the "full outerjoin-merge" operator, used in MOMIS to solve conflicts among values; this definition is based on the concept of "PI-CS-provenance" of the "Perm" system; we are using the "Perm" system as the SQL engine of MOMIS, so that to obtain the provenance in our CEREALAB Application. The main drawback of this solution is that often conflicting values represent alternatives; then our proposal is to consider the output of the "full outerjoin-merge" operator as an uncertain relation and manage it with a system that supports uncertain data and data lineage, the "Trio" system.

Integration and Provenance of Cereals Genotypic and Phenotypic Data / Beneventano, Domenico; Bergamaschi, Sonia; Abdul Rahman, Dannaoui; Pecchioni, Nicola. - ELETTRONICO. - (2012), pp. 3-3.

Integration and Provenance of Cereals Genotypic and Phenotypic Data

BENEVENTANO, Domenico;BERGAMASCHI, Sonia;PECCHIONI, Nicola
2012

Abstract

This paper presents the ongoing research on the design and development of a Provenance Management component, PM_MOMIS, for the MOMIS Data Integration System. MOMIS has been developed by the DBGROUP of the University of Modena and Reggio Emilia (www.dbgroup.unimore.it). An open source version of the MOMIS system is delivered and maintained by the academic spin-off DataRiver (www.datariver.it).PM_MOMIS aims to provide the provenance management techniques supported by two of the most relevant data provenance systems, the "Perm" and "Trio" systems, and extends them by including the data fusion and conflict resolution techniques provided by MOMIS. PM_MOMIS functionalities have been studied and partially developed in the domain of genotypic and phenotypic cereal-data management within the CEREALAB project. The CEREALAB Data Integration Application integrates data coming from different databases with MOMIS, with the aim of creating a powerful tool for plant breeders and geneticists. Users of CEREALAB played a major role in the emergence of real needs of provenance management in their domain.We defined the provenance for the "full outerjoin-merge" operator, used in MOMIS to solve conflicts among values; this definition is based on the concept of "PI-CS-provenance" of the "Perm" system; we are using the "Perm" system as the SQL engine of MOMIS, so that to obtain the provenance in our CEREALAB Application. The main drawback of this solution is that often conflicting values represent alternatives; then our proposal is to consider the output of the "full outerjoin-merge" operator as an uncertain relation and manage it with a system that supports uncertain data and data lineage, the "Trio" system.
University of Maryland, USA
June 28-29, 2012
Beneventano, Domenico; Bergamaschi, Sonia; Abdul Rahman, Dannaoui; Pecchioni, Nicola
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/744221
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact