FusionDB: conflict management system for small-science databases: Conflict management system for small-science databases

Mohamed Ahmed Yassin Eltabakh, Karim Ibrahim, Nathaniel Selvo, Mohamad El-Rifai

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

1 Citation (Scopus)

Abstract

In this paper, we demonstrate the FusionDB system; an extended relational database engine for managing conflicts in small-science databases. In small sciences, groups---each consists of few scientists---may share and exchange parts of their own databases among each other to foster collaboration. The goal of such sharing, especially when done at early stages of the discovery process, is not to build a warehouse or a unified schema, instead the goal is to compare and verify results, detect and assess conflicts, and possibly modify or re-design the discovery process. FusionDB is designed to meet the requirements and address the challenges of such sharing model. We will demonstrate the key functionalities of FusionDB including: (1) Detecting conflicts using a rule-based model over heterogeneous schemas, (2) Assessing conflicts and providing probabilistic estimates for values' correctness, (3) Extended querying capabilities in the presence of conflicts, and (4) Providing curation operations to help scientists resolve and investigate conflicts according to different priorities. FusionDB is realized on top of PostgreSQL DBMS.
Original languageEnglish
Title of host publicationCIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
Pages2469-2472
Number of pages4
DOIs
Publication statusPublished - 27 Oct 2013
Externally publishedYes
Event22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
Duration: 27 Oct 20131 Nov 2013

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period27/10/131/11/13

Keywords

  • Conflict management
  • Databases
  • Scientific data

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