Future Development: Towards Semantic Compliance Checking

Abstract

Process ontologies preserve elements and structures of business processes. This information is processed easily by using ontology-based querying and matching tools. This chapter demonstrates how a process owner can use these tools to improve or control their business processes. The first section will provide a brief overview of the theoretical background of ontology matching, such as element-level and structural matching procedures, and will provide a comparative analysis of available ontology matching tools in respect to their added value for investigating business processes. The following section will present a tool that can integrate the results of the ProKEX project—such as XSLT transformation, text mining based on similarity measures, and ontology tailoring method—into itself. But the key components of this tool are process ontologies. Domain ontologies that were presented in the previous chapters largely have a knowledge carrier role. Hence these results are applied in a different field in order to develop a tool that can help process owners to improve or control their business processes. The framework of this tool has already been implemented, hence its applicability will be presented with three test runs in the fund management field. The first one shows how a reference process ontology can be built from texts like best practice, standards, and protocols by using text mining. The second one will investigate the actual business process in the light of the reference business process using ontology matching procedures. The third one presents the role of ontology tailored to identify process-specific knowledge within domain ontology, usability of DL Query and ontology matching for checking the segregation of duties control in the actual business process.