Method and an apparatus for clustering process models

Andreas Bögl (Inventor), Mathias Goller (Inventor), Alexandra Grömer (Inventor), Gustav Pomberger (Inventor), Norbert Weber (Inventor)

Research output: Patent

Abstract

The invention relates to an apparatus for clustering process models each consisting of model elements comprising a text phrase which describes in a natural language a process activity according to a process modeling language grammar and a natural language grammar, wherein said apparatus comprises a process object ontology memory for storing a process object ontology, a distance calculation unit for calculating a distance matrix employing said processing modeling language grammar and said natural language grammar, wherein said distance matrix consists of distances each indicating a dissimilarity of a pair of said process models, and a clustering unit which partitions said process models into a set of clusters based on said calculated distance matrix.

Original languageEnglish
Patent numberUS8180627B2
Publication statusPublished - 15 May 2012

Fields of science

  • 102030 Semantic technologies
  • 502050 Business informatics
  • 102010 Database systems
  • 102035 Data science
  • 503008 E-learning
  • 502058 Digital transformation
  • 509026 Digitalisation research
  • 102033 Data mining
  • 102 Computer Sciences
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102016 IT security
  • 102015 Information systems
  • 102025 Distributed systems
  • 102022 Software development
  • 102040 Quantum computing 
  • 102034 Cyber-physical systems
  • 502032 Quality management
  • 102020 Medical informatics
  • 102006 Computer supported cooperative work (CSCW)
  • 503015 Subject didactics of technical sciences
  • 211928 Systems engineering

JKU Focus areas

  • Digital Transformation

Cite this