1. Collaborative Knowledge Discovery Environment on Biodiversity and Linguistic Diversity
Eveline Wandl-Vogt, Ksenia Zaytseva, Davor Ostojic – OEAW-ACDH - Austria
e-Research Summer Hackfest – Catania (Italy)

2. Components of the architecture
Outline
Scientific problem
Proposed solution
Data model
Data space
Components of the architecture

3. The lack of reuse of open data
Scientific problem
The lack of open collaborative workspace for curators and lexicographers working within biodiversity and linguistic diversity domain
The lack of reuse of open data
The lack of infrastructure for publishing and sharing data (especially for small lexicographic initiatives)

4. Proposed solution
Development of integrated environment/portal for biodiversity and linguistic diversity offering
Resource discovery (lexical resources and semantic resources)
Workspace for storage of resources (private, shared, public)
Long term preservation of resources
Collaborative curation (manual editing of lexical entries)
Enrichment/alignment with reference resources (e.g. Common Names Service)
Publishing of resources in rdf via triple store
Visualization based on rdf

5. Cover both conceptual (botanical) and lexical aspects
Data model
Cover both conceptual (botanical) and lexical aspects
Different data models for lexical resources:
SKOS (concepts + labels)
SKOS-XL
Ontolex (full-fledged lexical entries: LiteralForm, LexicalSense)
LMF
Main entities of the platform: lexical resources, lexical item, user, service

6. Data space – What resources shall be available?
Vision: All plants of the world with all (common/scientific) names
Starting set:
Dboe
Smaller lexicographic resources:
Russian
Chinese
Japanese
African
Reference resources:
Common Names Service
Agrovoc
Wikidata
Europeana

7. Components of the architecture
Catalog
Workspace – temporal storage
Repository – long-term preservation
Curation application
Enrichment services (external)
Triple store
Visualization
AAI

8. Components of the architecture

9. Implementation strategy (duplicate this slides as many time as needed)
Future Gateway
INDIGO PaaS
gLibrary
Open Access Repository

10. Thank you!
sci-gaia.eu