Abstract

Knowledge Graph Construction (KGC) is an important problem that has many domain-specific applications, including semantic search and predictive analytics. As sophisticated KGC algorithms continue to be proposed, an important, neglected use case is to empower domain experts who do not have much technical background to construct high-fidelity, interpretable knowledge graphs. Such domain experts are a valuable source of input because of their (both formal and learned) knowledge of the domain. In this demonstration paper, we present a system that allows domain experts to construct knowledge graphs by writing sophisticated rule-based entity extractors with minimal training, using a GUI-based editor that offers a range of complex facilities.

Date

2019

Authors

Mayank Kejriwal, Runqi Shao, Pedro Szekely

Book

Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval

Pages

1353-1356