@inproceedings{028aef459d934a40a845a69ca094e5d1,
title = "ICDM 2019 knowledge graph contest: Team UWA",
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.",
keywords = "Knowledge graph construction, Triple extraction",
author = "Michael Stewart and Majigsuren Enkhsaikhan and Wei Liu",
year = "2019",
month = nov,
doi = "10.1109/ICDM.2019.00205",
language = "English",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1546--1551",
editor = "Jianyong Wang and Kyuseok Shim and Xindong Wu",
booktitle = "Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019",
address = "United States",
note = "19th IEEE International Conference on Data Mining, ICDM 2019 ; Conference date: 08-11-2019 Through 11-11-2019",
}