Mastering Data-Intensive Collaboration and Decision Making

1. Front Matter

   Pages i-x

   PDF

2. The Dicode Project

   • Nikos Karacapilidis

   Pages 1-15

3. Data Intensiveness and Cognitive Complexity in Contemporary Collaboration and Decision Making Settings

   • Spyros Christodoulou, Nikos Karacapilidis, Manolis Tzagarakis, Vania Dimitrova, Guillermo de la Calle

   Pages 17-48

4. Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective

   • Lydia Lau, Fan Yang-Turner, Nikos Karacapilidis

   Pages 49-70

5. Making Sense of Linked Data: A Semantic Exploration Approach

   • Dhavalkumar Thakker, Vania Dimitrova, Lydia Lau, Fan Yang-Turner, Dimoklis Despotakis

   Pages 71-87

6. The Dicode Data Mining Services

   • Natalja Friesen, Max Jakob, Jörg Kindermann, Doris Maassen, Axel Poigné, Stefan Rüping et al.

   Pages 89-118

7. The Dicode Collaboration and Decision Making Support Services

   • Manolis Tzagarakis, Nikos Karacapilidis, Spyros Christodoulou, Fan Yang-Turner, Lydia Lau

   Pages 119-139

8. Integrating Dicode Services: The Dicode Workbench

   • Guillermo de la Calle, Eduardo Alonso-Martínez, Martha Rojas-Vera, Miguel García-Remesal

   Pages 141-164

9. Clinico-Genomic Research Assimilator: A Dicode Use Case

   • Georgia Tsiliki, Sophia Kossida

   Pages 165-180

10. Opinion Mining from Unstructured Web 2.0 Data: A Dicode Use Case

    • Ralf Löffler

    Pages 181-200

11. Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project

    • Natalja Friesen, Jörg Kindermann, Doris Maassen, Stefan Rüping

    Pages 201-212

12. Collaboration and Decision Making in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project

    • Spyros Christodoulou, Manolis Tzagarakis, Nikos Karacapilidis, Fan Yang-Turner, Lydia Lau, Vania Dimitrova

    Pages 213-226

This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative “workbench” incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.

• Cognitive Complexity
• Collaborative Decision Making
• Data Intensiveness
• Data Mining Analytics
• Data-Intensive Collaboration
• Dicode Project
• Knowledge Management
• Opinion Mining
• Engineering Economics

• University of Patras and Computer Technology Institute & Press "Diophantus", Rio Patras, Greece

  Nikos Karacapilidis

Nikos Karacapilidis is full professor of Industrial Management and Information Systems at University of Patras, Greece. His current research interests are on the areas of e-Collaboration, Technology-Enhanced Learning, Knowledge Management Systems, Group Decision Support Systems, Computer-Supported Argumentation and Enterprise Information Systems.

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