No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph
This work provides a critical evaluation for researchers in knowledge graph question answering, though it is incremental as it synthesizes existing components without introducing new methods.
The authors analyzed 29 question answering components for DBpedia since 2010, identifying collective failure cases and characteristics that limit performance, while suggesting future research directions.
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction. DBpedia has been the most prominently used knowledge graph in this setting and most approaches currently use a pipeline of processing steps connecting a sequence of components. In this article, we analyse and micro evaluate the behaviour of 29 available QA components for DBpedia knowledge graph that were released by the research community since 2010. As a result, we provide a perspective on collective failure cases, suggest characteristics of QA components that prevent them from performing better and provide future challenges and research directions for the field.