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  4. Question Answering on Linked Data: Challenges and Future Directions
 
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2016
Conference Paper
Title

Question Answering on Linked Data: Challenges and Future Directions

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.
Author(s)
Shekarpour, Saeedeh
Lukovnikov, Denis  
Jaya Kumar, Ashwini  
Endris, Kemele M.
Singh, Kuldeep  
Thakkar, Harsh
Lange, Christoph  orcid-logo
Mainwork
WWW'16 companion. Proceedings of the 25th International Conference on World Wide Web  
Conference
International Conference on World Wide Web (WWW) 2016  
DOI
10.1145/2872518.2890571
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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