ICDM 2019 Knowledge Graph Contest: Team UWA
This work addresses the challenge of building knowledge graphs from text for domain-specific applications, but it is incremental as it builds on existing pipeline methods.
The paper tackled the problem of knowledge graph construction from domain-specific text by developing a pipeline-based triple extraction system, resulting in a simple and effective solution that includes visualization features for triple information.
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.