ICDM 2019 knowledge graph contest: Team UWA

Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Conference on Data Mining, ICDM 2019
EditorsJianyong Wang, Kyuseok Shim, Xindong Wu
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1546-1551
Number of pages6
ISBN (Electronic)9781728146034
DOIs
Publication statusPublished - Nov 2019
Event19th IEEE International Conference on Data Mining - Beijing, China
Duration: 8 Nov 201911 Nov 2019

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
Volume2019-November
ISSN (Print)1550-4786

Conference

Conference19th IEEE International Conference on Data Mining
Abbreviated titleICDM 2019
CountryChina
CityBeijing
Period8/11/1911/11/19

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