Business Process model similarity analysis using hybrid PLSA and WDAG methods

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.

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