Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Technologies and infrastructures supporting text and data analytics: Challenges and Solutions

130 views

Published on

Maria Eskevich introduced the TDM Landscape: Infrastructure and Technical Implementation

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Technologies and infrastructures supporting text and data analytics: Challenges and Solutions

  1. 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 TECHNOLOGIES AND INFRASTRUCTURES SUPPORTING TEXT AND DATA ANALYTICS: CHALLENGES AND SOLUTIONS FutureTDM Reducing Barriers and Increasing Uptake of Text and Data Mining for Research Environments using a Collaborative Knowledge and Open Information Approach FutureTDM Symposium, Salzburg June 13th, 2017
  2. 2. Technologies and infrastructures supporting text and data analytics: challenges and solutions • The TDM Landscape: Infrastructure and Technical Implementation • Maria Eskevich (Radboud University) • Panel discussion ▪ Mihai Lupu (Data Market Austria) ▪ Maria Gavriilidou (clarin:el) ▪ Nelson Silva (know-centre) ▪ Stelios Piperidis (OpenMinTed) • Discussion 2FutureTDM
  3. 3. Technologies and infrastructures supporting text and data analytics: challenges and solutions Panel Discussion 1. A research or industrial application question to be replied to through TDM presupposes the existence of the appropriate data (textual or other).  What are the main technical challenges you have faced and how have you tried to overcome them? 4FutureTDM
  4. 4. Technologies and infrastructures supporting text and data analytics: challenges and solutions Panel Discussion 2. Complex, but sometimes even simpler, questions demand the orchestration of different text and data processing components or services. How easy has it been to discover such components / services and chain them together? What are the main challenges? How do/have you overcome them? 5FutureTDM
  5. 5. Technologies and infrastructures supporting text and data analytics: challenges and solutions Panel Discussion 3. a. Textual data to be mined may be rendered in different languages.  How easy has it been to find and reuse the necessary tools for the language at hand? b. Language processing tools, or more generally TDM, needs the appropriate language resources (lexica/models/ etc). How easy has it been to find and reuse the necessary tools for the language at hand? What are the main challenges and how do/have you overcome them? 6FutureTDM
  6. 6. Technologies and infrastructures supporting text and data analytics: challenges and solutions Panel Discussion 4. The open source software movement has resulted in many tools being available through different outlets/repositories. How much has your research/application development benefitted from such software? How easy has it been to reuse such software solutions? What are the main challenges you have faced? 7FutureTDM
  7. 7. Technologies and infrastructures supporting text and data analytics: challenges and solutions Panel Discussion 5. The EU and national governments have recently launched sizeable research infrastructures making available data and tools for or relevant to TDM. How easy has it been for you to access and use such infrastructures? Have they helped you solve part of your research/ application question? What would be your main requirements from a TDM infrastructure? 8FutureTDM
  8. 8. Technologies and infrastructures supporting text and data analytics: challenges and solutions Thank you! 9FutureTDM

×