Truth validation with evidence

Papis Wongchaisuwat*, Diego Klabjan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In the modern era, abundant information is easily accessible from various sources, however, only a few of these sources are reliable as they mostly contain unverified contents. We develop a system to validate the truthfulness of a given statement together with underlying evidence. The proposed system provides supporting evidence when the statement is tagged as false. Our work relies on an inference method on a knowledge graph (KG) to identify the truthfulness of statements. In order to extract the evidence of falseness, the proposed algorithm takes into account combined knowledge from KG and ontologies. The system shows very good results as it provides valid and concise evidence. The quality of KG plays a role in the performance of the inference method which explicitly affects the performance of our evidence-extracting algorithm.

Original languageEnglish (US)
Pages (from-to)1187-1209
Number of pages23
JournalKnowledge and Information Systems
Issue number5
StatePublished - May 2022


  • Evidence-extracting algorithm
  • Knowledge Graph
  • Ontologies
  • Truth validation

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Hardware and Architecture
  • Artificial Intelligence


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