mlsanityData to 7 Oct 2026

Question Answering on Linked Data: Challenges and Future Directions

arXiv 1601.03541 ↗First posted 14 Jan 2016cs.IRcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Jan 2016.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 1.

3 papers.