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Big Data Grapes BDV Meetup Sofia

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Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production.
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Big Data Grapes BDV Meetup Sofia

  1. 1. Unlock IoT Streams With Adding Context Milena Yankova, PhD A Case in Agriculture Head of Research & Innovation BigDataGrapes - Big Data to Enable Global Disruption of the Grapevine-powered Industries has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780751.
  2. 2. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  3. 3. Technology Excellence at Ontotext o Unique technology mix: + Data mining + Text mining o Robust technology: We power BBC.co.uk/SPORT and FT.COM o We serve many of the most knowledge intensive enterprises:
  4. 4. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  5. 5. IoT in Agriculture - Connected everything • satellite images, • drone images, • soil measurements, • drip irrigation, • weather forecast, • …unforeseen amount of data
  6. 6. How to make sense of data?
  7. 7. How to make sense of data?
  8. 8. How to make sense of data?
  9. 9. How to make sense of data?
  10. 10. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  11. 11. Grapevine & vineyard R&D SALES Distribution Chemistry laboratories Processing factories Winery facilities Production vineyards Packaging A case in agriculture: Wine production
  12. 12. Grapevine & vineyard R&D SALES Distribution Chemistry laboratories Processing factories Winery facilities Production vineyards Packaging A case in agriculture: Wine production DECISION: Raw materials & products DECISION: Product Quality & Assurance DECISION: Efficient Management DECISION: Brand Development & Storytelling DECISION: Informing Consumer Choice DECISION: Selection Of Materials & Extracts
  13. 13. A case in agriculture: Decision support system
  14. 14. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  15. 15. 15 BigDataGrapes Project Agroknow (GR) Ontotext (BG) CNR (IT) Katholieke Universiteit Leuven (BE) Agricultural University of Athens (GR) ABACO (IT) Geocledian (DE) APIGEA (GR) INRA (FR)
  16. 16. Farm Management System Improve the ability to take quick decisions through FMS
  17. 17. Improve the quality of raw materials based on data Table Grapes
  18. 18. Improve the quality of wine/ Efficient Management Of Vineyard Wine
  19. 19. Correlation of different quality biomarkers for producing better grape extracts used for cosmetics Natural Cosmetics
  20. 20. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  21. 21. BigData(Grapes) Challenges • Data Management and Data Processing − Distributed Big Data Indexing − Large-scale Ontology Alignment and Data Harmonisation − Scalable Real-time Distributed Processing − Task-dependent Load Balancing and Resource Usage • Data Analytics − Distributed Machine Learning Techniques • Data Visualization & User Interaction − Uncertainty-aware Scalable Visualisations − Trust-aware Decision Support Systems (related to the 3rd Strategic Research and Innovation agenda of BDVA)
  22. 22. Oct 2016 Data Spectrum: extremely heterogeneous (& Big) Satellite Distribution / Financial Genomics Sensor / Weather Bibliographic data In-field observations
  23. 23. The Critical Mass Malcolm Gladwell claims that one needs to devote 10 000 hours to become an expert in something, e.g. winemaking (Outliers)
  24. 24. The Critical Mass of Context (not Data) o An AI system needs:  To know 1B facts  About 100M concepts and entities  Read 1M articles o In order to reach concept and entity awareness in a specific domain  The level of awareness that people mean saying “My background is X”
  25. 25. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  26. 26. Context brings Awareness o Context allows facts to be identified, the way people do o Context is provided by sufficiently Big Knowledge Graph o This is awareness! "I am aware of X" or "She is cognizant of Y"
  27. 27. Commercial Agriculture Database Academic DataBases Research Articles Wikipedia Privateo Knowledge Graphs provide semantic entity fingerprints o Knowledge Graphs combine diverse information Knowledge Graphs As Context
  28. 28. Presentation Outline o Overview o Steaming data in Agriculture o Wine Production o BigDataGrapes Project o Big Data Challenges o Context brings Awareness o Awareness Improves Decision Presentation Outline
  29. 29. Decision Support System
  30. 30. Decision Support System
  31. 31. Thank you! milena.yankova@ontotext.com Meet me again Tomorrow, 15th at 14:15 in Open Call for Contributions (Pitches) session

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