Automating the semantic mapping between regulatory guidelines and organizational processes
| Autor: | Krishna Sapkota, Arantza Aldea, David A. Duce, René Bañares-Alcántara, Muhammad Younas |
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| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
Computer science Process (engineering) business.industry ComputingMilieux_LEGALASPECTSOFCOMPUTING 02 engineering and technology computer.software_genre Data science Management Information Systems Information extraction Semantic mapping Semantic similarity Hardware and Architecture 020204 information systems Similarity (psychology) Management system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Semantic integration business computer Semantic Web Software Information Systems |
| Zdroj: | Service Oriented Computing and Applications. 10:365-389 |
| ISSN: | 1863-2394 1863-2386 |
| DOI: | 10.1007/s11761-016-0197-2 |
| Popis: | The mapping of regulatory guidelines with organizational processes is an important aspect of a regulatory-compliance management system. Automating this mapping process can greatly improve the overall compliance process. Currently, there is research on 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 applied in this area. 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. |
| Databáze: | OpenAIRE |
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