A study of URI spotting for question answering over linked data (QALD)

Kyungtae Lim, Namkyoo Kang, Min Woo Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, there have been studies on linked data-based question answering systems such as Question Answering over Linked Data (QALD). In these linked data-based question answering systems, it is essential to connect URI which is used as an identifier of the linked data with a chunk or surface form constituting such queries. This study attempts to suggest effective URI spotting that connects question-answering chunk and URI of the linked data using conventional natural language processing techniques. In addition, this study addresses a solution for selecting best linked data entities from chunk by using automatically generated standard RDF query language expression (SPARQL) queries.

Original languageEnglish
Title of host publicationIntelligent Information Processing VIII - 9th IFIP TC 12 International Conference, IIP 2016, Proceedings
EditorsZhongzhi Shi, Gang Li, Sunil Vadera
PublisherSpringer New York LLC
Pages163-168
Number of pages6
ISBN (Print)9783319483894
DOIs
StatePublished - 2016
Event9th IFIP International Conference on Intelligent Information Processing, IIP 2016 - Melbourne, Australia
Duration: 18 Nov 201621 Nov 2016

Publication series

NameIFIP Advances in Information and Communication Technology
Volume486
ISSN (Print)1868-4238

Conference

Conference9th IFIP International Conference on Intelligent Information Processing, IIP 2016
Country/TerritoryAustralia
CityMelbourne
Period18/11/1621/11/16

Keywords

  • Linked data
  • Question answering
  • Question answering over linked data
  • URI spotting

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