Knowledge Graph Embedding for Ecotoxicological Effect Prediction

@inproceedings{Myklebust2019KnowledgeGE,
  title={Knowledge Graph Embedding for Ecotoxicological Effect Prediction},
  author={Erik B. Myklebust and Ernesto Jim{\'e}nez-Ruiz and Jiaoyan Chen and Raoul Wolf and Knut Erik Tollefsen},
  booktitle={ISWC Satellites},
  year={2019}
}
  • Erik B. Myklebust, Ernesto Jiménez-Ruiz, +2 authors Knut Erik Tollefsen
  • Published in ISWC Satellites 2019
  • Computer Science
  • Exploring the effects a chemical compound has on a species takes a considerable experimental effort. [...] Key Method A knowledge graph has been constructed from publicly available data sets, including a species taxonomy and chemical classification and similarity. The publicly available effect data is integrated to the knowledge graph using ontology alignment techniques. Our experimental results show that the knowledge graph based approach improves the selected baselines.Expand Abstract

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 20 REFERENCES

    LogMap: Logic-Based and Scalable Ontology Matching

    VIEW 5 EXCERPTS

    Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Ecotoxicology knowledgebase (ecotox) (2019), https://cfpub.epa.gov/ecotox

    • U EPA
    • 2019
    VIEW 1 EXCERPT

    Integrating semantic technologies in environmental risk assessment: A vision

    • E. B. Myklebust, E. Jimenez-Ruiz, Z. C. Rudjord, R. Wolf, K. E. Tollefsen
    • 29th Annual Meeting of the Society of Environmental Toxicology and Chemistry (SETAC)
    • 2019
    VIEW 1 EXCERPT

    Effective searching of RDF knowledge graphs

    VIEW 1 EXCERPT

    Knowledge Base Completion: Baselines Strike Back

    VIEW 1 EXCERPT