Question Answering on Linked Data: Challenges and Future Directions
It provides a comprehensive overview of known challenges to guide researchers in identifying future research directions, but it is incremental as it synthesizes existing issues without proposing new solutions.
The paper identifies challenges in building Question Answering systems that use structured data like knowledge graphs, highlighting that current systems fall short of expectations despite advances from unstructured to structured datasets.
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched metadata, but still question answering systems involve serious challenges which cause to be far beyond desired expectations. In this paper, we raise the challenges for building a Question Answering (QA) system especially with the focus of employing structured data (i.e. knowledge graph). This paper provide an exhaustive insight of the known challenges, so far. Thus, it helps researchers to easily spot open rooms for the future research agenda.