Comparing argumentation frameworks for composite ontology matching

Cássia Trojahn, Paulo Quaresma, Renata Vieira, Antoine Isaac

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

5 Citations (Scopus)


Resolving the semantic heterogeneity problem is crucial to allow interoperability between ontology-based systems. Ontology matching based on argumentation is an innovative research area that aims at solving this issue, where agents encapsulate different matching techniques and the distinct results are shared, compared, chosen and agreed. In this paper, we compare three argumentation frameworks, which consider different notions of acceptability: based on values and preferences between audiences promoting these values, based on the confidence level of the arguments, and based on voting on the arguments. We evaluate these frameworks using realistic ontologies from an established evaluation test case. The best matcher varies depending on specific characteristics of each set, while considering voting on arguments the results are similar to the best matchers for all cases.

Original languageEnglish
Title of host publicationArgumentation in Multi-Agent Systems
Subtitle of host publication6th International Workshop, ArgMAS 2009, Revised Selected and Invited Papers
EditorsPeter McBurney, Iyad Rahwan, Simon Parsons, Nicolas Maudet
Place of PublicationBerlin
Number of pages16
ISBN (Electronic)9783642128059
ISBN (Print)3642128041, 9783642128042
Publication statusPublished - 2010
Event6th International Workshop on Argumentation in Multi-Agent Systems, ArgMAS 2009 - Budapest, Hungary
Duration: 12 May 200912 May 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6057 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Workshop on Argumentation in Multi-Agent Systems, ArgMAS 2009


  • Good Matcher
  • Multiagent System
  • Argumentation Framework
  • Ontology Mapping
  • Ontology Match


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