ICDM 2019 Knowledge Graph Contest: Team UWA

Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu
9/4/2019
cs.CL

Official code: Michael-Stewart-Webdev/text2kg-visualisation (12 stars, last commit 2022-12-08).

Abstract

We present an overview of our triple extraction system for the ICDM 2019 Knowledge Graph Contest. Our system uses a pipeline-based approach to extract a set of triples from a given document. It offers a simple and effective solution to the challenge of knowledge graph construction from domain-specific text. It also provides the facility to visualise useful information about each triple such as the degree, betweenness, structured relation type(s), and named entity types.

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Code Implementations(1)

Michael-Stewart-Webdev/text2kg-visualisationOfficial100%

Team UWA's visualisation app developed as part of the ICDM 2019 Knowledge Graph Contest.

122CSS, HTMLSep 4, 20193 years agoNOASSERTION

Cite this paper

@article{stewart2019icdm,
  title  = {ICDM 2019 Knowledge Graph Contest: Team UWA},
  author = {Michael Stewart and Majigsuren Enkhsaikhan and Wei Liu},
  year   = {2019},
  eprint = {1909.01807},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1909.01807}
}

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