A similarity model for detection of conflicts between overlapping STEP application protocols

Stephen C.F. Chan, Shui Sheng Ye, Vincent To Yee Ng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This paper aims to partially automate the detection of conflicts among Application Protocols (APs) of the STEP data exchange standard. It is based on a proposed model for measuring the similarity between two data entities represented in the data modelling language EXPRESS. The similarity model considers both structural factors and attribute similarity. Structural factors include the depth of the inheritance hierarchy, supertype-subtype relations, subtype-subtype relations, and subtype inclusiveness. The information gathered during similarity/conflict detection can then be used to generate automatically a partial mapping between the APs in question.
Original languageEnglish
Pages (from-to)113-121
Number of pages9
JournalInternational Journal of Computer Applications in Technology
Volume16
Issue number2-3
DOIs
Publication statusPublished - 27 Feb 2003

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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