An Interface for Assisted Curation of Knowledge Bases from Unstructured Text

—We present an interactive graphical tool for assisted curation of knowledge bases from unstructured text data. Given text input, the user can create a knowledge base from scratch, including sub-tasks of entity mention annotation, matching mentions that refer to the same entity, and extracting relations between entities. The interface is designed to enable organizations to extract valuable knowledge from text data that may otherwise remain unexploited. We evaluate the interface through a formative user study. The study results suggest several key directions for refinement. Results also highlight the efficacy of the interface: all participants were able to create a knowledge base from scratch. Keywords-knowledge base population; entity matching; relation extraction; intelligent interfaces; natural language processing

• Type: Journal
• Year: 2016
• Where: HICSS
• Authors: Jeremy Wright, Gabriel Murray, Ben Hachey
• Keywords: Biometrics, HICSS 2016