An approach for automatic learning and inference by knowledge map

Chang Kai Hsu, Jyh Cheng Chang, Maiga Chang, Jihn Chang Jehng, Jia Sheng Heh

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

3 Scopus citations

Abstract

Knowledge is represented by graph or map is simpler than represented by proposition logics. Students who use the knowledge representation of knowledge map quickly learn to read a graph as IF-THEN and do all their reasoning directly on the graphs without translating them to rules or propositions. Instead, many graphic notations have been developed. Knowledge Map (KM) is a graphic system of logic that is as general as proposition logics.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computers in Education, ICCE 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages957-958
Number of pages2
ISBN (Electronic)0769515096, 9780769515090
DOIs
StatePublished - 2002
EventInternational Conference on Computers in Education, ICCE 2002 - Auckland, New Zealand
Duration: 3 Dec 20026 Dec 2002

Publication series

NameProceedings - International Conference on Computers in Education, ICCE 2002

Conference

ConferenceInternational Conference on Computers in Education, ICCE 2002
Country/TerritoryNew Zealand
CityAuckland
Period3/12/026/12/02

Keywords

  • conceptual graph
  • knowledge map
  • knowledge representation

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