by Maria Eskevich, Centre for Language and Speech Technologies, Radboud University

1. OpenDataMonitor
Horizon 2020
Coordination and Support Action
GARRI-3-2014 Scientific Information in the Digital Age: Text and Data Mining (TDM)
Project number: 665940
So where are we now? The TDM Landscape
FutureTDM
Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments
using a Collaborative Knowledge and Open Information Approach
FTDM workshop/Brussels
27 September 2016

2. Text and Data Mining : Definition
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• “Discovery by computer of new, previously unknown information, by automatically
extracting and relating information from different (…) resources, to reveal otherwise
hidden meanings” (Hearst, 1999), or
• “Exploratory data analysis that leads to the discovery of heretofore unknown
information, or to answers for questions for which the answer is not currently known”
(Hearst, 1999).
Raw data
(sensor data,
text, images,
multimedia)
Processed content
(diagrams, charts,
tables, references,
maps, formulas,
chemical structures)
Text and Data Mining
- Business or Competitive
Intelligence;
- Research Analytics;
- Learning analytics or
Educational Data Mining;
- Predictive Analytics;
Hearst, M.A., 1999. Untangling Text Data Mining. CollegePark, Maryland, Proceedings of the37thAnnual Meeting of theAssociationfor Computational
Linguistics on Computational Linguistics (ACL’99), pp. 3–10.http://www.aclweb.org/anthology/P99-1001

3. TDM: Technology perspective
3
Information
Retrieval
and Search
Artificial
Intelligence
Classification
Clustering
Regression
Association
Rules
Statistics
Information
Extraction Concept
Extraction
Opinion
Mining
Summarisation
Negation
and Modality
Detection
Textual
Entailment
Natural
Language
Processing
Machine
Learning
Machine
Translation
Predictive
Analytics
Multimedia
Processing
Source: M. Eskevich, A. van den Bosch, M. Caspers, L. Guibault, A. Bertone, S. Reilly, C. Munteanu, P. Leitner, S. Piperidis. Research Report on TDM
Landscape in Europe. ProjectH2020GARRI-3-2014--665940 FutureTDM Deliverable D3.1, 2016.
http://project.futuretdm.eu/wp-content/uploads/2016/05/D3.1-Research-Report-on-TDM-Landscape-in-Europe-FutureTDM.pdf

4. General economic structure : TDM across all economic sectors
4
Source: M. Eskevich, A. van den Bosch, M. Caspers, L. Guibault, A. Bertone, S. Reilly, C. Munteanu, P. Leitner, S. Piperidis. Research Report on TDM
Landscape in Europe. ProjectH2020GARRI-3-2014--665940 FutureTDM Deliverable D3.1, 2016.
http://project.futuretdm.eu/wp-content/uploads/2016/05/D3.1-Research-Report-on-TDM-Landscape-in-Europe-FutureTDM.pdf

5. TDM : business perspective
5
Enabling players :13%
ICT Enablers : 19%
Market
places :3%
Analytics: 27%
Cross
Infrastructures :
2%
Vertical
Applications:
27%
Data users: 9%
Source: S. Piperidis, K. Pouli, M. Gavriilidou, D. Galanis, J. Bakagianni, M. Eskevich, A. Bertone. European Landscape& of TDM Applications Report. Project
H2020 GARRI-3-2014--665940 FutureTDM Deliverable D4.1, 2016.
http://project.futuretdm.eu/wp-content/uploads/2016/06/FutureTDM_D4.1-European-Landscape-of-TDM-Applications-Report.pdf

6. TDM : scientific perspective
6
97.10%
0.38%
2.53%
2.90%
all projects
TDM specific
TDM associated
51,2 B€
75,3 M€633,8
M€
852,4
M€
319,9 M€
149 M€
All FP7 & Horizon 2020 projects Primary sector
Secondary sector Tertiary sector
Quaternary sector Quinary sector
Source: S. Piperidis, K. Pouli, M. Gavriilidou, D. Galanis, J. Bakagianni, M. Eskevich, A. Bertone. European Landscape& of TDM Applications Report. Project
H2020 GARRI-3-2014--665940 FutureTDM Deliverable D4.1, 2016.
http://project.futuretdm.eu/wp-content/uploads/2016/06/FutureTDM_D4.1-European-Landscape-of-TDM-Applications-Report.pdf

7. TDM in Europe: Language perspective
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Source: http://www.meta-net.eu/whitepapers/key-results-and-cross-language-comparison

8. To conclude and to start the discussion
• TDM technologies are present across all sectors of EU
economy:
• There is none and can‘t be one fit all solution
• Shared infrastructures can help cross-polination of TDM solutions
between sectors
• EU case is specific due to the additional language
dimension:
• Bias towards English language in terms of availability of tools/data/overall
focus
• Multilinguality of the population requires additional costs on TDM solutions
localisation
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