A hybrid syntactic and semantic approach to service identification in collaborative networks

Abstract

In this paper a semi-automated approach for service identification, considering the requirements of partners in a collaborative network is presented. The requirements meeting the business goals are further applied as a means for building the business process to-be model. Approach begins with process and goal combination and maps action rules to tasks for specific resources for fill the gap between goal model and business model representations. Semantic analysis based on extraction of resource relations and their similarity is second part of main method to service identification. A correlation matrix from extracted weighted task’s relations is used as an input of space vector machine. Semantic clustering of pre-processed vector is used for identify partner’s services.