Data quality in reasoning

Stephanie Inglis, Ehud Reiter, Somayajulu Sripada

Research output: Contribution to journalConference article

Abstract

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
Volume2151
Publication statusPublished - 1 Jan 2018
Event1st SICSA Workshop on Reasoning, Learning and Explainability, ReaLX 2018 - Aberdeen, United Kingdom
Duration: 27 Jun 2018 → …

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Recommender systems
Decision making
Health

Keywords

  • Data quality
  • Data-to-text
  • Reasoning

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Data quality in reasoning. / Inglis, Stephanie; Reiter, Ehud; Sripada, Somayajulu.

In: CEUR Workshop Proceedings, Vol. 2151, 01.01.2018.

Research output: Contribution to journalConference article

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