Data quality in reasoning

Stephanie Inglis, Ehud Reiter, Somayajulu Sripada

Research output: Contribution to journalConference articlepeer-review

6 Downloads (Pure)


Decision making using data is dependent on the quality of the data being used to make those decisions. Currently, data-to-text recommendation systems do not take this into consideration. Unsatisfactory recommendations are likely to cause further damage, which could have a detrimental effect economically or from a health and safety perspective. Highlighting quality issues in data-to-text systems will allow readers to consider this.

Original languageEnglish
JournalCEUR Workshop Proceedings
Early online date1 Jan 2018
Publication statusPublished - 1 Jan 2018
Event1st SICSA Workshop on Reasoning, Learning and Explainability, ReaLX 2018 - Aberdeen, United Kingdom
Duration: 27 Jun 201827 Jun 2018


  • Data quality
  • Data-to-text
  • Reasoning


Dive into the research topics of 'Data quality in reasoning'. Together they form a unique fingerprint.

Cite this