
WA-BC AFS Workshop – Fishing for Clarity: Knowledge Modeling to Support Cross-Organizational Collaboration and Data Sharing About Salmon Escapement
March 10, 2025 @ 9:00 am - 4:30 pm
To be held at the AFS Washington-British Columbia Chapter Meeting, Vancouver BC March 9, 2025 (all day)
Salmon Ontology Workshop – Full Agenda
Workshop Description
In this day-long workshop (sponsored by Fisheries and Oceans Canada, PSMFC StreamNet, and PNAMP), participants will learn about using a knowledge modeling approach to integrate data across multiple organizations engaged in monitoring salmon spawner abundance. Focusing on the challenge of being able to integrate salmon escapement observations across diverse entities, workshop attendees will develop a shared ontology describing core data requirements and concepts that underlie salmon escapement observations. The workshop will equip participants with the skills to build scalable, interoperable data models, an important component of enabling integrated data across organizations for better analysis and decision-making. By the end, attendees will leave with practical tools and a clear roadmap for advancing data sharing and collaboration in salmon management.
Target Audience: This workshop is ideal for professionals working in salmon monitoring, analysis and management.
Workshop Objectives: By the end of the workshop, attendees will be able to:
- Understand the key principles and methodologies of knowledge modeling.
- Learn how to build and apply an ontology to structure data for cross-organizational integration.
- Identify and address challenges in integrating heterogeneous data from different systems and organizations.
- Gain hands-on experience in creating and refining ontologies that support data interoperability and semantic clarity.
- Develop strategies for ensuring the scalability and sustainability of data models in collaborative environments.
Scope:
- Introduction to knowledge modeling and ontology concepts, with a focus on data integration challenges.
- Step-by-step guidance on designing a knowledge model tailored to cross-organizational data needs.
- Practical exercises on defining and structuring an ontology that reflects real-world data scenarios.
- Group discussions and case studies drilling into specifics of salmon escapement.
- Develop shared approach for continuing development and maintenance of a shared ontology
Participants will leave with the skills to:
- Build foundational knowledge models that can integrate disparate data sources.
- Create ontologies that provide a common framework for understanding data across organizations.
- Apply knowledge modeling to real-world scenarios, enhancing interoperability and reducing data silos.
- Contribute to the long-term success of collaborative data initiatives through a sustainable and adaptable knowledge framework.