Question Answering on Linked Data: Challenges and Future Directions

TitleQuestion Answering on Linked Data: Challenges and Future Directions
Publication TypeConference Proceedings
Year of Publication2016
AuthorsSaeedeh Shekarpour, Kemele Endris, Ashwini Jaya Kumar, Denis Lukovnikov, Kuldeep Singh, Harsh Thakkar, Christoph Lange
Conference NameInternational World Wide Web Conference
Pagination693-698
PublisherInternational World Wide Web Conferences Steering Committee
Conference LocationRepublic and Canton of Geneva, Switzerland
ISBN978-1-4503-4144-8
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, datasets underlying QA systems have been promoted from unstructured datasets to structured datasets with semantically highly enriched metadata, question answering systems are still facing serious challenges and are therefore not meeting users' expectations. This paper provides an exhaustive insight of challenges known so far for building QA systems, with a special focus on employing structured data (i.e. knowledge graphs). It thus helps researchers to easily spot gaps to fill with their future research agendas.