Abstract

Business process modeling means to describe the set of activities either within the companies or organizations. A variety of approaches used and the level of complexity is a problem that often occurs within applicability therefore needed a way to measure the degree of correspondence between the model of Business Process. By measuring the level of compatibility model in Business Process expected company can be easier to analyze. The need in the analysis of business process models are expected of a company or organization can understand the business processes that are running and can be used as a tool to help companies in the face of change and development so as to facilitate in making policies that are needed quickly. In this paper would propose merging structural analysis with semantic analysis where semantic analysis performed using Probabilistic Latent Semantic Analysis (PLSA), and then every method both structural and semantic analysis will be represented into Weighted Directed Acyclic Graph (WDAG) and to calculate, a combined with the aim to generating methods of measuring the degree of correspondence between business process models are better than just using structural analysis.

Original languageEnglish
Title of host publicationProceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages231-236
Number of pages6
ISBN (Electronic)9781509013791
DOIs
Publication statusPublished - 24 Apr 2017
Event2016 International Conference on Information and Communication Technology and Systems, ICTS 2016 - Surabaya, Indonesia
Duration: 12 Oct 2016 → …

Publication series

NameProceedings of 2016 International Conference on Information and Communication Technology and Systems, ICTS 2016

Conference

Conference2016 International Conference on Information and Communication Technology and Systems, ICTS 2016
Country/TerritoryIndonesia
CitySurabaya
Period12/10/16 → …

Keywords

  • probabilistic latent semantic analysis
  • reusable process
  • similarity process model
  • topic mining
  • weighted directed acyclic graph

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