Querying Biomedical Ontologies in Natural Language using Answer Set

TL;DR

This paper presents an intelligent system that enables natural language querying of biomedical ontologies and databases, providing answers and explanations through a rule-based reasoning layer.

Contribution

It introduces a novel rule layer and reasoning approach for natural language querying of biomedical data, enhancing accessibility and interpretability.

Findings

Effective natural language querying of biomedical ontologies demonstrated

System provides explanations for answers upon request

Automated reasoning improves query accuracy and relevance

Abstract

In this work, we develop an intelligent user interface that allows users to enter biomedical queries in a natural language, and that presents the answers (possibly with explanations if requested) in a natural language. We develop a rule layer over biomedical ontologies and databases, and use automated reasoners to answer queries considering relevant parts of the rule layer.