In this work we show the benefits of using Semantic Web tools to integrate different data sources, and knowledge graph embedding approaches to improve the ecotoxicological effect prediction in the Norwegian Institute for Water Research (NIVA), a leading institute for fundamental and applied research on marine and freshwaters.
Material:
- The TERA tool set for integrating the disparate data sources.
- Knowledge graph generation scripts.
- The generated Toxicological Effects and Risk Assessment (TERA) knowledge graph.
- Machine learning models.
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Erik B. Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. Knowledge Graph Embedding for Ecotoxicological Effect Prediction. International Semantic Web Conference 2019. Best Student Paper in the In-Use track of ISWC 2019
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Erik B. Myklebust, Ernesto Jimenez-Ruiz, Zofia C. Rudjord, Raoul Wolf, Knut Erik Tollefsen: Integrating semantic technologies in environmental risk assessment: A vision. 29th Annual Meeting of the Society of Environmental Toxicology and Chemistry (SETAC) (2019)
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Erik B. Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. TERA: the Toxicological Effect and Risk Assessment Knowledge Graph. arXiv:1908.10128.