Question answering over healthcare knowledge graph

Abstract

In recent years, there has been a growing interest in digitising health records and healthcare data so that sophisticated systems can be built for faster retrieval, processing and analysis of data. One such type of system is a Question-Answering system which can help the domain experts to retrieve the required data efficiently by asking queries in natural language. Question- answering Systems based on Knowledge Graphs have found applications in various domains. Our work aims to build a question-answering chatbot for electronic health records. The medical professionals can ask questions in natural language, and the Chatbot would iteratively build and execute appropriate SPARQL queries on the Knowledge graph containing the Electronic Health Records to return the relevant data.