Accepted Papers

Regular Papers: Research Track

  • Context Analytics: Vision, Architecture, Opportunity
    Eser Kandogan, IBM; Mary Roth, IBM; Ignacio Terrrizzano, IBM; Ed Seabolt, IBM; Peter Schwarz, IBM; Harsha Krishnareddy, IBM; Akshay Agarwal, IBM
  • Contextually-Enriched Querying of Integrated Data Sources
    Giacomo Cavallo, University of Torino; Francesco Di Mauro, University of Torino; Paolo Pasteris, University of Torino; Maria Luisa Sapino, University of Torino; K. Selcuk Candan, Arizona State University
  • Distributed Privacy-Preserving Record linkage using Pivot-based Filter Techniques
    Marcel Gladbach, University of Leipzig; Erhard Rahm, University of Leipzig

Short Papers: Vision Track

  • Exploiting Functional Context in Biology: Reconsidering Classification of Bacterial Life
    James Kaufman, IBM Research, Almaden; Ed Seabolt, IBM Research, Almaden; Mark Kunitomi, IBM Research, Almaden; Akshay Agarwal, IBM Research, Almaden; Kristen Beck, IBM Research, Almaden; Harsha Krishnareddy, IBM Research, Almaden; Bart C. Weimer, U.C., Davis, School of Veterinary Medicine
  • Contextual Data Cleaning
    Morteza Alipour-Langouri, McMaster University; Zheng Zheng, McMaster University; Fei Chiang, McMaster University; Lukasz Golab, University of Waterloo; Jaroslaw Szlichta, University of Ontario IT
  • Datasets for Context-Aware Recommender Systems: Current Context and Possible Directions
    Sergio Ilarri, University of Zaragoza; Raquel Trillo-Lado, Universidad de Zaragoza; Ramon Hermoso, University of Zaragoza

Invited Papers/Talks

  • What do we mean when we talk about Context?
    Naresh Kumar Agarwal, Simmons School of Library & Information Science
  • Evaluating Text Analytic Frameworks for Mental Health Surveillance
    Ben Mayer, Oak Ridge National Laboratory; Josh Arnold, Oak Ridge National Laboratory; Edmon Begoli, Oak Ridge National Laboratory; Eduardo Poncemo, University of Tennessee; Kris Brown, University of Tennessee; Everett Rush, Oak Ridge National Laboratory; Michael Drewry, Oak Ridge National Laboratory
  • Improving Quality of Observational Streaming Medical Data by using Long Short-Term Memory Networks (LSTMs)
    Michael Bowie, Oak Ridge National Laboratory; Park Byung, Oak Ridge National Laboratory; Edmon Begoli, Oak Ridge National Laboratory