The Database Group @ University of Toronto  The Vivification Project
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  Project Description

In the new era of Business Intelligence (BI) technology, transforming massive ammounts of data into high quality business Information is essential. To achieve this, two non-overlapping worlds need to be aligned: the Information Technology (IT) world, represented by an organization's operational data sources and the technologies that manage them (data warehouses, schemas, queries, ...), and the business world, portrayed by business plans, strategies and goals that an organization aspires to fulfill. Alignment in this context means mapping business queries into BI queries, and interpreting the data retrieved from the BI query in business terms. We call the creation of this interpretation the vivification problem.

  • VoidWiz: Resolving Incompleteness Using Network Effects (camera ready in preparation)
    Christina Christodoulakis, Christos Faloutsos, and Renée J. Miller.
    Demo paper, 30th International Conference on Data Engineering (ICDE), 2014
  • Vivification in Business Intelligence
    Patricia C. Arocena, Renée J. Miller, and John Mylopoulos.
    Book chapter, In Raymond Ng et al.'s "Perspectives on Business Intelligence", Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2013.
  • The Vivification Problem in Real-Time Business Intelligence: A Vision.
    Patricia C. Arocena, Renée J. Miller, and John Mylopoulos.
    Workshop paper, Enabling Real-Time Business Intelligence (BIRTE), Lecture Notes in Business Information Processing, 2012.
 We have released a first prototype implementation of VoidWiz   external link   (soon to be available as a git repository). VoidWiz was designed and implemented to display value imputation for missing data using network effects in summer 2013. It is being extended to visualize provenance of suggested values.
Copyright © 2013 The Database Group @ University of Toronto | Last Updated October 16, 2013