(Tentative) Workshop Program

08:30-08:40 Welcome
08:40-09:30 Opening Plenary

Data Context in the Field and in the Lab
Joe Hellerstein
University of California, Berkeley

9:30-10:00 Invited Talk

What do we mean when we talk about Context?
Naresh Agarwal
Simmons School of Library and Information Science

10:00-10:30 Coffee Break
10:30-11:45 Session I: Context Analytics: Data, Queries, Architecture

Context Analytics: Vision, Architecture, Opportunity
Eser Kandogan, Mary Roth, Ignacio Terrrizzano, Ed Seabolt, Peter Schwarz, Harsha Krishnareddy, Akshay Agarwal
IBM Research, Almaden

Contextually-Enriched Querying of Integrated Data Sources
Giacomo Cavallo, Francesco Di Mauro, Paolo Pasteris, Maria Luisa Sapino, K. Selcuk Candan
University of Torino; Arizona State University

Contextual Data Cleaning
Morteza Alipour-Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta
McMaster University; University of Waterloo; University of Ontario IT

11:45-12:00 Recap
12:00-01:30 Lunch Break
01:30-03:00 Session II: Data Engineering for Precision Medicine

Distributed Privacy-Preserving Record linkage using Pivot-based Filter Techniques
Marcel Gladbach, Erhard Rahm, Ziad Sehili, Peter Christen
University of Leipzig, The Australian National University

Evaluating Text Analytic Frameworks for Mental Health Surveillance
Ben Mayer, Josh Arnold, Edmon Begoli, Eduardo Poncemo, Kris Brown, Everett Rush, Michael Drewry
Oak Ridge National Laboratory, University of Tennessee

Improving Quality of Observational Streaming Medical Data by using Long Short-Term Memory Networks (LSTMs)
Michael Bowie, Park Byung, Edmon Begoli
Oak Ridge National Laboratory

03:00-03:30 Coffee Break
03:30-04:20 Session III: Exploiting Context in Analytics

Datasets for Context-Aware Recommender Systems: Current Context and Possible Directions
Sergio Ilarri, Raquel Trillo-Lado and Ramon Hermoso
University of Zaragoza

Exploiting Functional Context in Biology: Reconsidering Classification of Bacterial Life
James Kaufman, Ed Seabolt, Mark Kunitomi, Akshay Agarwal, Kristen Beck, Harsha Krishnareddy and Bart C. Weimer
IBM Research, Almaden; University of California, Davis, School of Veterinary Medicine

04:20-05:10 Closing Plenary

Issues in Ethical Data Management
Serge Abiteboul
INRIA, ENS Paris

05:10-05:15 Closing