Comparison of conceptual graphs

Manuel Montes-Y-Gómez, Alexander Gelbukh, Aurelio López-López

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

31 Scopus citations

Abstract

In intelligent knowledge-based systems, the task of approximate matching of knowledge elements has crucial importance. We present the algorithm of comparison of knowledge elements represented with conceptual graphs. The method is based on well-known strategies of text comparison, such as Dice coefficient, with new elements introduced due to the bipartite nature of the conceptual graphs. Examples of comparison of two pieces of knowledge are presented. The method can be used in both semantic processing in natural language interfaces and for reasoning with approximate associations.

Original languageEnglish
Title of host publicationMICAI 2000
Subtitle of host publicationAdvances in Artificial Intelligence - Mexican International Conference on Artificial Intelligence, Proceedings
Pages548-556
Number of pages9
DOIs
StatePublished - 2000
Event1st Mexican International Conference on Artificial Intelligence, MICAI 2000 - Acapulco, Mexico
Duration: 11 Apr 200014 Apr 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1793 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st Mexican International Conference on Artificial Intelligence, MICAI 2000
Country/TerritoryMexico
CityAcapulco
Period11/04/0014/04/00

Keywords

  • Approximate matching
  • Conceptual graphs
  • Knowledge representation

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