KER - Knowledge Embedding Representation

Knowledge Embedding Representation approaches for categorized (typed) multi-relational data.

Code

KRAL

Datasets

• EHR-Demographics (de-identifyed clinical dataset)

• EHR-Pregnancy (de-identifyed clinical dataset)

• UCI-Mushroom

• BPA (taxonomy of medical procedures associated with ICD-10 restrictions)

• Freebase FB55T (a typed-version of Freebase)

Publications

HEXTRATO: Using Ontology-based Constraints to Improve Accuracy on Learning Domain-specific Entity and Relationship Embedding Representation for Knowledge Resolution

Cite this paper:

@conference{TissotKDIR2018,
  author={Hegler Tissot.},
  title={HEXTRATO: Using Ontology-based Constraints to Improve Accuracy on Learning Domain-specific Entity and Relationship Embedding Representation for Knowledge Resolution},
  booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
  year={2018},
  pages={72-81},
  publisher={SciTePress},
  organization={INSTICC},
  doi={10.5220/0006923700720081},
  isbn={978-989-758-330-8}
}

Clinical Knowledge Graph Embedding Representation Bridging the Gap between Electronic Health Records and Prediction Models

Cite this paper:

@inproceedings{ChungLiuTissotICMLA2019,
  author={M. W. {Heng Chung} and J. {Liu} and H. {Tissot}},
  booktitle={2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)},
  title={Clinical Knowledge Graph Embedding Representation Bridging the Gap between Electronic Health Records and Prediction Models},
  year={2019},
  volume={},
  number={},
  pages={1448-1453},
  keywords={Task analysis;Protocols;Pregnancy;Training;Machine learning;Correlation;Measurement;electronic health records;multi relational data;knowledge graphs;embedding representation;link prediction;clustering;classification},
  doi={10.1109/ICMLA.2019.00237},
  ISSN={null},
  month={Dec}
}

Clustering as an Evaluation Protocol for Knowledge Embedding Representation of Categorised Multi-relational Data in the Clinical Domain Cite this paper:

@misc{LiuTissot2019,
    title={Clustering as an Evaluation Protocol for Knowledge Embedding Representation of Categorised Multi-relational Data in the Clinical Domain},
    author={Jianyu Liu and Hegler Tissot},
    year={2019},
    eprint={2002.09473},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}

Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data

Cite this paper:

@inproceedings{ChungTissotStarAI,
  title={Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data},
  booktitle={StarAI 2020 - Ninth International Workshop on Statistical Relational AI},
  author={Matthew Wai Heng Chung and Hegler Tissot},
  publisher =    {AAAI}
  venue =        {New York, USA},
  month =        {Feb},
  year =         {2020},
  url =          {http://www.starai.org/2020/}
}