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IC-SDV 2019: Semantic e-Science - The Future of Information Provision in the Digital Age - Aleksandar Kapisoda (Boehringer Ingelheim, Germany )

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With the digital revolution the provision of scientific information is fully entered in a new mode of operation.

The fast advances of technologies is transforming the way of providing information towards scientists and opening new opportunities.

Data and Information storage has moved from a paper-based, manual affair to an activity in which computers are necessary.

As a result, a vast amount of scientific information is being daily produced and collected, a research organization has not enough resources to collect everything.

With emphasizing data-intensive thinking e-Science is moving towards data Intensive technologies and is becoming a new technology driver and requires the re-thinking of infrastructure architecture components, solutions and processes for Scientific Information Provision.

A new systematic approach for tackling the challenges of data-intensive computing, providing scientists and decision makers with practical tools for dealing and exploring the needed data and information.

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IC-SDV 2019: Semantic e-Science - The Future of Information Provision in the Digital Age - Aleksandar Kapisoda (Boehringer Ingelheim, Germany )

  1. 1. Semantic e-Science The Future of Information Provision in the Digital Age Aleksandar Kapisoda IC-SDV 2019 France, Nice - 9th April 2019
  2. 2. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 2 1895 - we don't live in that kind of world Paul Otlet
  3. 3. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 3 2019 - we do live in that kind of world Aleksandar Kapisoda
  4. 4. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 4 1895 - Universal Information structure https://s-media-cache-ak0.pinimg.com/736x/7d/71/0f/7d710ffe8ad97234ebc4867546d68a28.jpg He is one of several people who have been considered the father of information science, a field he called "documentation". was imagining his universal information structure by making 'symbolic links' from document to document. started to think about a system that could represent the multiple networked relations between objects of various formats with various objectives. designed explicitly mapped multiple relations between multi-media objects (so not just books) and allowed for constant transformation and modification. Paul Otlets vision - The Book of the Books In 1934, Paul Otlet laid out this vision in what he called “Radiated Library” vision
  5. 5. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 5 2019 - Universal Information Structure https://s-media-cache-ak0.pinimg.com/736x/7d/71/0f/7d710ffe8ad97234ebc4867546d68a28.jpg He is one of several people who have been considered the father of information science, a field he called "documentation". was imagining his universal information structure by making 'symbolic links' from document to document. started to think about a system that could represent the multiple networked relations between objects of various formats with various objectives. designed explicitly mapped multiple relations between multi-media objects (so not just books) and allowed for constant transformation and modification. Paul Otlets vision - The Book of the Books In 1934, Paul Otlet laid out this vision in what he called “Radiated Library” vision Terminologies & Ontologies Linked Data Domain Expertise making 'symbolic links' from document to document. World Wide Web
  6. 6. Boehringer Ingelheim & Blockchain 6 2018 | 2019 – Technology https://www.boehringer-ingelheim.ca/en/press-release/boehringer-ingelheim-canada-ltd-and-ibm-canada-announce-first-its-kind-collaboration? Built Digital Infrastrucure for e-Science Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda
  7. 7. 7
  8. 8. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 8 Various “definitions..” Enhanced
  9. 9. • It describes computationally intensive science, or science requiring new computational tools to manage massive amounts of heterogeneous, distributed data that must be efficiently stored, processed, analyzed and visualized. • eScience enhances science by maximizing the potential scientific output from literature, patents, databases and data et. through the optimal use/deployment of emerging technologies and their infrastructures. • Semantic e-Science is connecting the dots between Data, Ontologies with BigQuery Data Analytics with Googles engine Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 9 What is e-Science?
  10. 10. 10
  11. 11. • How to manage research data? • How to transform data to knowledge? • How to generate knowledge from data? • How is new knowledge obtained from data? • How is the knowledge shared and managed? Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 11 Managing Research Data
  12. 12. http://research.microsoft.com/en-us/collaboration/fourthparadigm 12 2009 - The Fourth Paradigm (by Jim Gray) Experimental Theoretical Data Intensive Computational Jim Gray (Microsoft):computing is fundamentally transforming the practice of science. He called the shift a "fourth paradigm." Data-Intensive Scientific Discovery
  13. 13. 13 Disovery Research is getting complex More & Larger data More details, types, scales More Bytes Sophisticated technology Data analysis no longer possible by “eye” Involves various experts More Complex Fast advances of technologies Infrastructure for tackling the challenges of data-intensive computing Services
  14. 14. 14 Complexity of our Enviroment is being daily producedand collected, a research organization has not enough resources to collect everything. Result - vast amount of scientific information is moving towards data Intensive technologiesand is becominga new technologydriver and requires the re- thinking of infrastructure architecture components, solutions and processes for Scientific Information Provision. With emphasizing data-intensive thinking for tackling the challenges of data-intensive computing,providing scientists and decision makers with practical tools for dealing and exploring the needed data and information New systematic approach of Data and Information storage has moved from a paper-based, manually affair to an activity in which computers are necessary. Disruption is transforming the way of providinginformationtowards scientists and openingnew opportunities. Fast advances of technologies provision of scientific information is fully entered in a new mode of operation. Digital Revolution
  15. 15. Personalized Information like Personalized Medicine The goal of this concept is to make licensed and public information resources accessible to researchers in a smart and clear way. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 15 Founding Idea – Personlized Information Platform
  16. 16. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 16 Personalizing the UI describes a single-tiered software application in which the user interface and data access code are combined into a single program from a single platform. 1980 Monolithic Search Application are managing this deluge by tailoring the information which will be presented to individual users or user groups. 2018 Information Mart concept of Boehringer Ingelheim Personalized Information Marts improves search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, to generate more relevant results. 1990’s Semantic Search Application Information Experts & Trained Scientists Scientists
  17. 17. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 17 Recipe for Personalized Information Marts Queries Toolbox Services through a "toolbox" that allows domain experts to ask different and complex questions. Development of a toolbox for Ad-hoc Analytics speed up the process of scientific discovery in Information Resources Redefinition of Services Diversity of Queries & Questions Tailored Toolbox
  18. 18. An ontology based data analytics platform for personalized information licensed & open access Databases, Literature, Patents, Grants´, clinical trials… Diseases, Targets, Biomarker and many more… Linking & Connecting Extracted Concepts with Ontologies External Information Resources Ontologies Technology: BigQuery Data Analytics with Googles engine Digital Infrastructure for Smart Data
  19. 19. Information Extraction from the Public Domain & Licensed Data Sources Patents Normalization with Content Annotation Text Analytics Entity Recognition & Knowledge Extraction Personalized With specific Visualizations
  20. 20. Diseases Targets Biomarker Compounds Unboxing the Knowledge Connecting the Dots
  21. 21. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 21 Connecting Researcher to Meaningful Data Researcher Insights from Data Infrastructures Techniques Concepts Services connect analysed
  22. 22. Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 22 Outcome Connecting the dots between Data, Ontologies with BigQuery Data Analytics with Googles engine Smart Data Gaining Insights from Information towards Knowledge Knowledge Using art-of-state technology Big Query and creating a ontology based data analytics platform Technology
  23. 23. Conclusion • provide customized information strictly focused & tailored towards the information needs of R&D project teams. • support knowledge discovery of scientists with pro-actively push project- ”specific” information • break down data silos and follow F.A.I.R. principles for external data with our Knowledge Discovery Solution we 23
  24. 24. • S.I.C, TransMed, R&D colleagues • Dr. Weber – OntoChem • Dr. Sonja Müller & Klaus Kater – DeepSearch9 Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 24 Acknowledgement
  25. 25. Thank You! Questions?
  26. 26. • https://www.mondotheque.be/wiki/index.php?title=Here • www.boehringer-ingelheim.ca/en/press-release/boehringer-ingelheim-canada-ltd-and-ibm-canada-announce-first-its-kind-collaboration • https://geneticliteracyproject.org/2018/05/01/defining-normal-in-an-era-of-precision-medicine-is-challenging/ • https://open-organization.com/en/2016/08/30/three-meanings-of-the-word-disruption/ • https://www.ethikrat.org/themen/forschung-und-technik/big-data/ • https://medium.com/syncedreview/alibaba-launches-11-qubit-quantum-computing-cloud-service-ad7f8e02cc8 • https://www.stitchdata.com/data-warehouses/google-bigquery/ • http://research.microsoft.com/en-us/collaboration/fourthparadigm • https://en.wikipedia.org/wiki/E-Science • https://e-science-tage.de/en • https://en.wikipedia.org/wiki/E-Science • https://fr.freepik.com/vecteurs-libre/science-rocks_773738.htm • Lutz Weber – OntoChem GmbH (http://www.ontochem.com) Semantic e-Science, France, Nice - 9th April 2019, Aleksandar Kapisoda 26 List of references

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