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www.eudat.euEUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065
Toward FAIR Semantic Resources
Yann Le Franc, PhD
e-Science Data Factory, Paris,
France
DI4R area 1: Interoperability
Brussels, 30/11/2017
B2NOTE: a Semantic Annotation Service
Associate additional information to data elements without
changing the data element (W3C Web Annotation
standard)
Annotation used to retrieve and aggregate data elements
from different sources
B2NOTE is integrated with EUDAT B2SHARE service
B2NOTE can be integrated by external data repositories
B2NOTE is a pilot service. Production service will be
released in upcoming months.
B2NOTE: a Semantic Annotation Service
https://b2note.bsc.es
B2NOTE: a Semantic Annotation Service
Creation and management of annotations
Three types of annotations:
Free text keyword annotation
Comment annotation
Semantic annotation
Autocomplete function using indexed
semantic resources
Semantic Index
Support term/concept discovery for semantic annotations
Build SolR index from Bioportal (434 ontologies and
more than 5 millions of concepts)
Restricted to biomedical domain
How can we extend this approach to other scientific
domains ?
Semantic Index
Support term/concept discovery for semantic annotations
Build SolR index from Bioportal (434 ontologies and
more than 5 millions of concepts)
Restricted to biomedical domain
How can we extend this approach to other scientific
domains ?
Extension to other domains requires the
indexing of more semantic resources
Semantic resources
A definition:
Individual semantic artifact (Ontologies, Vocabularies,
Thesauri,…) and semantic repositories.
Landscape evaluation
Distributed over the web with limited visibility
Different formats (OWL, SKOS, OBO, …)
Different metadata descriptions
Different repository data models
Different APIs
Subjective FAIRness evaluation
Findable
Accessible
Interoperable
Reusable
Subjective FAIRness evaluation
Findable
Accessible
Interoperable
Reusable
Not easily
Most of the time
No
With limitations
Subjective FAIRness evaluation
Findable
Accessible
Interoperable
Reusable
Not easily
Most of the time
No
With limitations
Identified problems
Metadata interoperability
API interoperability
Discoverability
How can we improve the situation?
Community engagement
Design and development of a proof-of-concept
aggregation service
How can we improve the situation?
Community engagement
Design and development of a proof-of-concept
aggregation service
EUDAT Semantic WG
Semantic Look Up Service
EUDAT Semantic Working Group
EUDAT Semantic Working Group
45 participants
3 working groups
Minimum common metadata for ontologies/vocabularies
Interoperability: metadata, data models and API
Semantic Marketplace
Integration with RDA to support international and multi-
disciplinary collaboration
Biodiversity perspective: Lecce meeting
Biodiversity perspective: Lecce meeting
Agreement on the issues
Need of multi-disciplinary integration of semantic
resources for biodiversity
Interest for the semantic marketplace: list of
functionalities to support ontologists and
knowledge engineers
Integration within RDA
Integration within RDA
5 working groups/task forces
Topics were selected based on subscription of
contributors
Task forces outcome and dynamic will be
evaluated at the next plenary
Semantic Look Up Service
Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories;
Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web
Conference (ISWC 2017), At Vienna, Volume: 1933
https://bsceudatwp8.bsc.es/
Semantic Look Up Service
Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories;
Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web
Conference (ISWC 2017), At Vienna, Volume: 1933
Registration of semantic resources
Interface to provide mapping for aligning
index with resource data model
Publish list of resource
Semantic Look Up Service
Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories;
Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web
Conference (ISWC 2017), At Vienna, Volume: 1933
Registration of semantic resources
Interface to provide mapping for aligning index
with resource data model
Publish list of resource
Wishlist
Semi-automated harvesting of the
resources
Provide analytics on semantic resources
Aggregating and analyzing multiple sources
Conclusions
An active international collaboration of experts has
emerged to address the issues preventing FAIR
semantic resources
Proof-of-concept service:
Create and publish a list of multi-disciplinary semantic
resources
Aggregate semantic resources
Provide analytics on the semantic resources
Create a multi-disciplinary semantic index
What’s next ?
Why should we continue this effort?
There is a clear need for semantic services with multi-
disciplinary coverage
Semantic resources are first class citizen in the
implementation of FAIR data management system (FAIR Data
Point; Luiz Olavo Bonino da Silva Santos et al., 2016)
Needs of communities like Biodiversity and Ecology for
aggregating data from multiple disciplines.
Needs for Knowledge Engineers/Ontologists to access,
aggregate and analyze semantic resources.
Luiz Olavo Bonino da Silva Santos et al. (2016) - FAIR Data Points Supporting Big Data Interoperability; In book: Enterprise
Interoperability in the Digitized and Networked Factory of the Future, Publisher: ISTE Press, Editors: Martin Zelm, Guy Doumeingts,
Joao Pedro Mendonça, pp.270-279
What would be the outcomes?
A central hub for ontologist and knowledge engineers to
access multi-disciplinary semantic resources and analytics.
A multi-disciplinary curated semantic index that can be used
by semantic tools (annotators, text miner,…)
A set of recommendations and standards to ease the
interoperability of semantic resources.
Potential business applications that would guarantee the
sustainability of the resources.
What do we need?
Community support
Strategical positioning
Financial resources
What do we need?
Community support
Strategical positioning
Financial resources
JOIN US in the RDA IG
How can we integrate
this work in the EOSC
vision ?
How can we fund the
development of the
semantic index ?
What do we need?
Community support
Strategical positioning
Financial resources
JOIN US in the RDA IG
How can we integrate
this work in the EOSC
vision ?
How can we fund the
development of the
semantic index ?
Your inputs
Acknowledgements
EUDAT: Doron Goldfarb, Barbara Magagna, Aymeric
Rodriguez
RDA: Simon Cox, Adam Shepherd, John Graybeal
The experts who are contributing to the RDA VSIG
The experts who did contribute to shape this project in
Barcelona and in Lecce.

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Toward Interoperable Semantic Resources

  • 1. www.eudat.euEUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065 Toward FAIR Semantic Resources Yann Le Franc, PhD e-Science Data Factory, Paris, France DI4R area 1: Interoperability Brussels, 30/11/2017
  • 2. B2NOTE: a Semantic Annotation Service Associate additional information to data elements without changing the data element (W3C Web Annotation standard) Annotation used to retrieve and aggregate data elements from different sources B2NOTE is integrated with EUDAT B2SHARE service B2NOTE can be integrated by external data repositories B2NOTE is a pilot service. Production service will be released in upcoming months.
  • 3. B2NOTE: a Semantic Annotation Service https://b2note.bsc.es
  • 4. B2NOTE: a Semantic Annotation Service Creation and management of annotations Three types of annotations: Free text keyword annotation Comment annotation Semantic annotation Autocomplete function using indexed semantic resources
  • 5. Semantic Index Support term/concept discovery for semantic annotations Build SolR index from Bioportal (434 ontologies and more than 5 millions of concepts) Restricted to biomedical domain How can we extend this approach to other scientific domains ?
  • 6. Semantic Index Support term/concept discovery for semantic annotations Build SolR index from Bioportal (434 ontologies and more than 5 millions of concepts) Restricted to biomedical domain How can we extend this approach to other scientific domains ? Extension to other domains requires the indexing of more semantic resources
  • 7. Semantic resources A definition: Individual semantic artifact (Ontologies, Vocabularies, Thesauri,…) and semantic repositories. Landscape evaluation Distributed over the web with limited visibility Different formats (OWL, SKOS, OBO, …) Different metadata descriptions Different repository data models Different APIs
  • 11. Identified problems Metadata interoperability API interoperability Discoverability
  • 12. How can we improve the situation? Community engagement Design and development of a proof-of-concept aggregation service
  • 13. How can we improve the situation? Community engagement Design and development of a proof-of-concept aggregation service EUDAT Semantic WG Semantic Look Up Service
  • 15. EUDAT Semantic Working Group 45 participants 3 working groups Minimum common metadata for ontologies/vocabularies Interoperability: metadata, data models and API Semantic Marketplace Integration with RDA to support international and multi- disciplinary collaboration
  • 17. Biodiversity perspective: Lecce meeting Agreement on the issues Need of multi-disciplinary integration of semantic resources for biodiversity Interest for the semantic marketplace: list of functionalities to support ontologists and knowledge engineers
  • 19. Integration within RDA 5 working groups/task forces Topics were selected based on subscription of contributors Task forces outcome and dynamic will be evaluated at the next plenary
  • 20. Semantic Look Up Service Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories; Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017), At Vienna, Volume: 1933 https://bsceudatwp8.bsc.es/
  • 21. Semantic Look Up Service Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories; Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017), At Vienna, Volume: 1933 Registration of semantic resources Interface to provide mapping for aligning index with resource data model Publish list of resource
  • 22. Semantic Look Up Service Goldfarb and Le Franc, 2017 – Enhancing the Discoverability and Interoperability of Multi-disciplinary Semantic Repositories; Conference: 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017), At Vienna, Volume: 1933 Registration of semantic resources Interface to provide mapping for aligning index with resource data model Publish list of resource Wishlist Semi-automated harvesting of the resources Provide analytics on semantic resources
  • 23. Aggregating and analyzing multiple sources
  • 24. Conclusions An active international collaboration of experts has emerged to address the issues preventing FAIR semantic resources Proof-of-concept service: Create and publish a list of multi-disciplinary semantic resources Aggregate semantic resources Provide analytics on the semantic resources Create a multi-disciplinary semantic index What’s next ?
  • 25. Why should we continue this effort? There is a clear need for semantic services with multi- disciplinary coverage Semantic resources are first class citizen in the implementation of FAIR data management system (FAIR Data Point; Luiz Olavo Bonino da Silva Santos et al., 2016) Needs of communities like Biodiversity and Ecology for aggregating data from multiple disciplines. Needs for Knowledge Engineers/Ontologists to access, aggregate and analyze semantic resources. Luiz Olavo Bonino da Silva Santos et al. (2016) - FAIR Data Points Supporting Big Data Interoperability; In book: Enterprise Interoperability in the Digitized and Networked Factory of the Future, Publisher: ISTE Press, Editors: Martin Zelm, Guy Doumeingts, Joao Pedro Mendonça, pp.270-279
  • 26. What would be the outcomes? A central hub for ontologist and knowledge engineers to access multi-disciplinary semantic resources and analytics. A multi-disciplinary curated semantic index that can be used by semantic tools (annotators, text miner,…) A set of recommendations and standards to ease the interoperability of semantic resources. Potential business applications that would guarantee the sustainability of the resources.
  • 27. What do we need? Community support Strategical positioning Financial resources
  • 28. What do we need? Community support Strategical positioning Financial resources JOIN US in the RDA IG How can we integrate this work in the EOSC vision ? How can we fund the development of the semantic index ?
  • 29. What do we need? Community support Strategical positioning Financial resources JOIN US in the RDA IG How can we integrate this work in the EOSC vision ? How can we fund the development of the semantic index ? Your inputs
  • 30. Acknowledgements EUDAT: Doron Goldfarb, Barbara Magagna, Aymeric Rodriguez RDA: Simon Cox, Adam Shepherd, John Graybeal The experts who are contributing to the RDA VSIG The experts who did contribute to shape this project in Barcelona and in Lecce.