Question Answering on Linked Data: Challenges and Future Directions

TitleQuestion Answering on Linked Data: Challenges and Future Directions
Publication TypeJournal Article
Year of Publication2016
AuthorsSaeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar, Kemele M. Endris, Kuldeep Singh, Harsh Thakkar, Christoph Lange
JournalComputing Research Repository (CoRR)
Date Published02/2016
KeywordsData Quality, Distributed and Heterogeneous Datasets, Interoperability of Components, Query Understanding, Question Answering System, Research Challenge, Speech Interface
Abstract

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.

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