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Dicode - Mastering Data-Intensive Collaboration and Decision Making

Project type: Small or medium-scale focused research project (STREP)
Funding scheme: Collaborative project
Start date: 01 September 2010
Duration: 36 months
EU funding: € 2,599,991.00
Total: € 3,510,004.00
Number of partners: 8
Project coordinator: Computer Technology Institute & Press "Diophantus" (CTI), Greece

The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies - such as cloud computing, MapReduce, Hadoop, Mahout, and column databases – to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. Building on current advancements, the solution foreseen in the Dicode project will bring together the reasoning capabilities of both the machine and the 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 concentrate on creative activities. Services to be developed are: (i) scalable data mining services (including services for text mining and opinion mining), (ii) collaboration support services, and (iii) decision making support services.

The achievement of the Dicode project’s goal will be validated through three use cases addressing clearly established problems. These cases were chosen to test the transferability of Dicode solution in different collaboration and decision making settings, associated with diverse types of data and data sources, thus covering the full range of the foreseen solution’s features and functionalities. They concern: (i) scientific collaboration supported by integrated large-scale knowledge discovery in clinico-genomic research, (ii) delivering pertinent information from heterogeneous data to communities of doctors and patients in medical treatment decision making, and (iii) capturing tractable, commercially valuable high-level information from unstructured Web 2.0 data for opinion mining.

The Dicode project (dicode-project.eu) is funded by the European Commission, Information Society and Media Directorate General, under the FP7 Cooperation programme (ICT/SO 4.3: Intelligent Information Management).

Latest Blog Posts

Monday, April 14, 2014 - 16:49 by nikoskaracapilidis

Springer has just published a book reporting on research carried out within the context of the Dicode project. The book's title is “Mastering Data-Intensive Collaboration and Decision Making: Cutting-edge research and practical applications in the Dicode project” (226 p., 98 illus., details at: http://www.springer.com/engineering/computational+intelligence+and+compl...). It has been published under Springer's "Studies in Big Data" Series.

Monday, October 21, 2013 - 14:12 by nenakaragianni

A publishing agreement with Springer has been signed to prepare a book reporting on the most significant results of the Dicode project. Its tentative title is “Mastering Data-Intensive Collaboration and Decision Making: Cutting-edge research and practical applications in the Dicode project”. The book will be edited by Nikos Karacapilidis.

Monday, October 21, 2013 - 14:10 by nenakaragianni

Vania Dimitrova will give a Keynote Talk about the Dicode project at the 7th International Conference on Software Engineering, 15-17 November 2013, Pune, India (http://www.conseg.in/pune2013/). The title of the talk is “The Bumpy Ride of Engineering Innovative Intelligent Systems to Augment Human Practice”. In addition, Dicode semantic services will be presented by Dhaval Thakker and Vania Dimitrova in a tutorial at the same conference. The title of the tutorial is “Semantic-enriched intelligent support to make sense of social and linked data”.

Monday, October 7, 2013 - 14:01 by nenakaragianni

Nikos Karacapilidis gave a Keynote Talk, titled “Mastering Data-Intensive Collaboration and Decision Making”, at KEOD 2013 (5th International Conference on Knowledge Engineering and Ontology Development), 22 September 2013, Vilamoura, Portugal (http://www.keod.ic3k.org/).

Monday, July 22, 2013 - 13:58 by nenakaragianni

Nikos Karacapilidis and Victor Maojo were co-chairs of a Special Track on “Grid and Cloud Computing in Biomedicine and Life Sciences”, organized in the context of CBMS’13 (26th International Symposium on Computer-Based Medical Systems), Porto, Portugal, 20-22 June 2013 (http://sara.unisalento.it/cbms2013/).

Thursday, May 9, 2013 - 18:09 by LydiaLau

Congratulations to the winning team at the IESD 2013 Challenge sponsored by DICODE:
Roberto García, Josep Maria Brunetti, Rosa Gil and Juan Manuel Gimeno. Rhizomer: Overview, Facets and Pivoting for Semantic Data Exploration.

The IESD Challenge aims to attract participations from the Semantic Web community particularly focusing on semantic data exploration. The Challenge is open to everyone from industry and academia. It was an event in the Second International Workshop on Intelligent Exploration of Semantic Data (IESD'2013) at Hypertext 2013, Paris, France.

Thursday, May 9, 2013 - 18:03 by LydiaLau

A successful IESD'13 - the Second International Workshop on Intelligent Exploration of Semantic Data at Hypertext 2013, Paris, France. May 1 2013. (http://imash.leeds.ac.uk/event/2013/iesd.html)

A strong Dicode presence with two full papers:

Vania Dimitrova, Lydia Lau, Dhavalkumar Thakker, Fan Yang-Turner and Dimoklis Despotakis - Exploring Exploratory Search: A User Study with Linked Semantic Data.

Manolis Tzagarakis and Nikos Karacapilidis - On the Exploitation of Semantic Types in the Visualization of Complex Argumentative Discourses.

And an entry for the IESD Challenge which came close second:

Pablo Mendes and Max Jakob. Semantic Exploration of Open Source Software Project Descriptions.

Wednesday, May 8, 2013 - 13:39 by nenakaragianni

Dicode Text Mining technology was demonstrated at CeBit2013 in Hannover.
The Fraunhofer IAIS "Living Lab Big Data Demonstrator" features emotion detection and topic model technology that was originally developed for the Dicode use case 3.

Friday, March 29, 2013 - 13:27 by nikoskaracapilidis

Dicode has established an "in cooperation" status with the organizers of KEOD 2013 - 5th International Conference on Knowledge Engineering and Ontology Development. For more information: http://www.keod.ic3k.org/

Thursday, October 18, 2012 - 22:37 by LydiaLau

Congratulations to the winning team at the IESD 2012 Challenge sponsored by DICODE:
Sven Buschbeck, Anthony Jameson, Raphaël Troncy, Houda Khrouf, Osma Suominen and Adrian Spirescu - A Demonstrator for Parallel Faceted Browsing.

The IESD Challenge aimed to attract participations from the Semantic Web community particularly focusing on semantic data exploration. It was an event in the International Workshop on Intelligent Exploration of Semantic Data (IESD'2012) at EKAW 2012 - the 18th International Conference on Knowledge Engineering and Knowledge Management, Galway City, Ireland, October 2012.

Details of the event and workshop papers are available from http://imash.leeds.ac.uk/event/program.html .