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An overview of the process and lessons learned developing SERONTO, on observations and measurements ontology.

An overview of the process and lessons learned developing SERONTO, on observations and measurements ontology.

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  • 1. ALTER-NET AND SERONTO Nic Bertrand on behalf of ALTER-Net I6 Team
  • 2. OVERVIEW • Brief introduction • Ontology Creation Process • Lessons Learned - What work and what could work better
  • 3. ALTER-NET • Network for Long term ecological research • Need to integrate data from many different sources, types... etc... • Metadatainformation catalogue (InfoBase) (What’s being measured, where) • Semantic framework for data integration (SERONTO) Socio-Ecological Research and Observation oNTOlogy
  • 4. SERONTO Components OBOE ISO19115 Units EML Core Ontology Ecosystems Domain Ontologies Biodiversity Imported/Mapped Core ontology Standards & Landscape Ontologies Socio- InfoBase Taxonomy Economics External Common domain Core ontology Domain ontology knowledge space ontologies
  • 5. Uses of SERONTO Short term perspective:  Common model on how ecological and socio-ecological observations can be structured for data management  Agreed common representation on observations across different domains  Agreed common key domain concepts (common knowledge space) Mid-to long term perspective:  Integrative data model for seamless data access and querying across multiple institutions and diverse data types (tested, mid-to long term perspective)
  • 6. SERONTO CORE ONTOLOGY There are five main aspects to consider: 1. Sampling structure (where does the quot;objectquot; of measurement come from, and how is it selected) 2. Observation on “objectsquot;: what parameter, when (time stamp) and how (method chains) 3. For each parameter precision, scale, units and dimensions are identified 4. Make use of available knowledge collected in the reference catalogue 5. Grouping method for connecting pieces of information which relate to each other
  • 7. Ontology Creation Process
  • 8. ROLES AND RESPONSIBILITIES Role Who Description decision forum The whole community (if small) or decides on proposed ontology solutions for each delegates of the community for which the issue and ensure the common acceptance in the ontology is developed community ontology working group formed by members of the community Carry out the ontology process steps 1 to 3, who are working on a specific ontology including the creation of examples (step 5) aspect working group coordinator One member of the working group overview over the group process (WIKI) responsible person for ontology issue One member of the working group overview over the specific issue, the deadlines (WIKI) ontology experts Experts of the community Carry out ontology process step 4 to bring all solutions together formalized in ontologies ontology coordinator Process experts of the community overview over whole process, deadlines; facilitates the process and acts as a process mediator
  • 9. WORKSHOPS / FACE TO FACE Brainstorm Conceptual Models Load into Protege Create examples / instances Document Examples in Wiki Document Issues in Wiki
  • 10. DOMAIN ONTOLOGY WORKING GROUPS Small Groups Work through examples to develop domain ontology Test Core Ontology Raise issues Communicate findings with other groups
  • 11. Ontology Creation Process prolonged work in progress under discussion voting period voting period a1 WPS WPE DD VD PVD Issue Decision
  • 12. WIKI AS A DECISION FORUM
  • 13. WIKI AS A DECISION FORUM
  • 14. WIKI AS A DECISION FORUM
  • 15. WIKI AS A DECISION FORUM
  • 16. WIKI AS A TOOL TO REFINE DEV PROCESS
  • 17. TOOL TO REFINE PROCESS
  • 18. CONCLUSIONS • It’s hard! • Technical solutions can get in the way • Emotions can get in the way • Groups / Leadership change • Strong coordination is essential • A Clear, Open and agreed Process help • Well managed Face to Face meetings are key • Everybody will eventually contribute -- It takes time and effort
  • 19. WHAT COULD HAVE WORKED BETTER • Documentation of discussions • Focus on short-term application of ontology to demonstrate benefits of approach • Closure of contentious points • Develop examples earlier • Work with real data earlier • Establish clearer framework for domain ontologies • Publish
  • 20. http://www5.umweltbundesamt.at/ALTERNet/index.php?title=Ont:Ontology_Creation_Portal