Mapping regulatory guidelines with organizational processes helps in Regulatory Compliance Management. Automating the mapping process can help in automating the overall compliance process. The existing approaches compute the mapping between different entities such as ontology mapping, sentence similarity, semantic similarity and regulation-requirement mapping. However, there has not been adequate research on the automation of the mapping process between regulatory guidelines and organizational processes. In this paper, we explain how Natural Language Processing and Semantic Web technologies can be exploited in order to map the regulatory guidelines and organizational processes. In particular, we explain how we can take advantage of the structures of regulation ontology and the process ontology in order to compute the similarity between a regulatory guideline and a process. Our methodology is validated using a case study in the Pharmaceutical industry, which has shown promising results.
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