[Colloquium] 4/25: Avigdor Gal (Technion) - Loch Data and Other Monsters: on Creating Data Ecosystems, the Intelligent Way

[Rob Mitchum]

*Data Science Institute/Computer Science Seminar*

*Avigdor Gal*
*Benjamin and Florence Free Chaired Professor of Data Science*

*Technion – Israel Institute of Technology*

*Monday, April 25th*
*3:00 p.m. - 4:00 p.m.*
*In Person: John Crerar Library, Room 390*


*Loch Data and Other Monsters: on Creating Data Ecosystems, the Intelligent
Way*

A data ecosystem offers an alliance-driven infrastructure that enables the
interaction of different stakeholders and the resolution of
interoperability issues among shared data. Despite years of research in
data governance and management, trustability is still affected by the
absence of transparent and traceable data-driven pipelines. Data
integration is the main facilitator of such data-driven pipelines and
matching is a task at the heart of any data integration process, aimed at
identifying correspondences among data elements. Matching problems were
traditionally performed in a semi-automatic manner, with correspondences
being generated by matching algorithms and outcomes subsequently validated
by human experts. Human-in-the-loop data integration has been recently
challenged by the introduction of big data and recent studies have analyzed
obstacles to effective human matching and validation. In this talk, we
focus on the tension between human and machine matching. We propose a novel
data ecosystem architecture that relies on both human knowledge and machine
learning and offer a concrete algorithmic solution for effective data
integration within this architecture. In particular, we shall present the
limitations of human matching and offer a method for learning to
characterize reliable and valuable matching experts.

*Bio*: Avigdor Gal <https://agp.iem.technion.ac.il/avigal/> is The Benjamin
and Florence Free Chaired Professor of data science at the Technion –
Israel Institute of Technology, where he heads the Big Data Integration
laboratory. He specializes in various aspects of data management and mining
with about 150 publications in leading journals, books, and conference
proceedings. In the current age of big data, his research is focused on
developing novel models and algorithms for data integration. In the past he
gave keynotes and tutorials in leading conferences in the areas of data and
process management. Avigdor Gal is a recipient of the prestigious Yannai
award for excellence in academic education, and multiple best paper and
test-of-time awards.

*Host: *Michael Franklin




-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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