Survey on challenges of Question Answering in the Semantic Web

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

  • Konrad Höffner
  • Sebastian Walter
  • Edgard Marx
  • Ricardo Usbeck
  • Jens Lehmann
  • Axel Cyrille Ngonga Ngomo

Semantic Question Answering (SQA) removes two major access requirements to the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a specific vocabulary. Because of the complexity of natural language, SQA presents difficult challenges and many research opportunities. Instead of a shared effort, however, many essential components are redeveloped, which is an inefficient use of researcher's time and resources. This survey analyzes 62-different SQA systems, which are systematically and manually selected using predefined inclusion and exclusion criteria, leading to 72-selected publications out of 1960 candidates. We identify common challenges, structure solutions, and provide recommendations for future systems. This work is based on publications from the end of 2010 to July 2015 and is also compared to older but similar surveys.

Original languageEnglish
JournalSemantic Web
Volume8
Issue number6
Pages (from-to)895-920
Number of pages26
ISSN1570-0844
DOIs
Publication statusPublished - 2017
Externally publishedYes

Bibliographical note

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DOI