Relational data mining applied to virtual engineering of product designs

  • Monika Žákova*
  • , Filip Železný
  • , Javier A. Garcia-Sedano
  • , Cyril Masia Tissot
  • , Nada Lavrač
  • , Petr Křemen
  • , Javier Molina
  • *Corresponding author for this work

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

17 Citations (Scopus)

Abstract

Contemporary product design based on 3D CAD tools aims at improved efficiency using integrated engineering environments with access to databases of existing designs, associated documents and enterprise resource planning. The ultimate goal of this work is to achieve design process improvements by applying state-of-the-art ILP systems for relational data mining of past designs, utilizing commonly agreed design ontologies as background knowledge. This paper demonstrates the utility of relational data mining for virtual engineering of product designs through the detection of frequent design patterns, enabled by the proposed baseline integration of hierarchical background knowledge (a CAD ontology) using sorted refinements.

Original languageEnglish
Title of host publicationInductive Logic Programming - 16th International Conference, ILP 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages439-453
Number of pages15
ISBN (Print)9783540738466
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event16th International Conference of Inductive Logic Programming, ILP 2006 - Santiago de Compostela, Spain
Duration: 24 Aug 200627 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4455 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference of Inductive Logic Programming, ILP 2006
Country/TerritorySpain
CitySantiago de Compostela
Period24/08/0627/08/06

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