Abstract
We present how Web standards and technologies can implement traceability in business rules. This enhances transparency of business systems with facilitated integration of system components and data. Such traceability provides end-users access to source documents describing rules and facts that apply to users. This helps both users and developers ensure that how systems work aligns with documentation they derive from. Important features of Web standards include, links to document fragments, and links from not just concepts but assertions about them. In addition, a shared identifier infrastructure enables the integration of these functions of the document and Semantic Webs. We investigate how and to what degree conforming tools for existing standards can implement this communication between these layers. Analysis of how these standards and their applied components work here provides insight into what traceable business rule implementation requires in general. Our approach is to implement an illustrative scenario with standards to demonstrate their utility and provide insights into the issues involved. This scenario comes from the General Data Protection Regulation (GDPR), which related work often uses in examples of business rule implementation.
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References
Berghuis, B.: Enabling business rule traceability as guidance to regulation origination in finance. Master’s thesis, Open University of the Netherlands, Heerlen, The Netherlands (2022)
Bulles, J., Cartigny, B., Bollen, P.: Analyzing the new 2019 Dutch environment and planning act. In: Debruyne, C., et al. (eds.) OTM 2017. LNCS, vol. 10697, pp. 163–172. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73805-5_17
Colombo, C., Grech, J.P., Pace, G.J.: A controlled natural language for business intelligence monitoring. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., Métais, E. (eds.) Natural Language Processing and Information Systems, pp. 300–306. Springer International Publishing, Cham (2015). https://doi.org/10.1007/978-3-319-19581-0_27
DeRose, S.J., Maler, E., Orchard, D., Walsh, N.: XML Linking Language (XLink) Version 1.1. Tech. Rep. (3 2010)
Dexe, J., Franke, U., Nöu, A.A., Rad, A.: Towards increased transparency with value sensitive design. In: Degen, H., Reinerman-Jones, L. (eds.) Artificial Intelligence in HCI, pp. 3–15. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-50334-5_1
European Union: general data protection regulation (GDPR) art. 6 GDPR lawfulness of processing (2018). https://gdpr.eu/article-6-how-to-process-personal-data-legally
Karpovič, J., Kriščiūnienė, G., Ablonskis, L., Nemuraitė, L.: The comprehensive mapping of semantics of business vocabulary and business rules (SBVR) to OWL 2 ontologies. Inf. Technol. Control 43(4) (2014)
Lim, K.C.: Providing traceability of the exception in business rules for the privacy domain. Master’s thesis, Open University of the Netherlands, Heerlen, The Netherlands (2023)
Murtazina, M., Avdeenko, T.: An ontology-based approach to support for requirements traceability in agile development. Procedia Comput. Sci. 150, 628–635 (2019). In: Proceedings of the 13th International Symposium “Intelligent Systems 2018" (INTELS’18), 22–24 October, 2018, St. Petersburg, Russia
Musen, M.A., Protégé, T.: The Protégé Project: a look back and a look forward. AI Matters 1(4), 4–12 (2015)
Object Management Group: SBVR XML Schema in terms of XMI (2016)
Object Management Group: semantics of business vocabulary and business rules (SBVR) (2016)
Pandit, H.J., Fatema, K., O’Sullivan, D., Lewis, D.: GDPRtEXT GDPR as a linked data resource. In: Gangemi, A., et al. (eds.) The Semantic Web, pp. 481–495. Springer International Publishing, Cham (2018). https://doi.org/10.1007/978-3-319-93417-4_31
Pietriga, E., Bizer, C., Karger, D., Lee, R.: Fresnel: a browser-independent presentation vocabulary for RDF. In: Cruz, I., et al. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 158–171. Springer, Heidelberg (2006). https://doi.org/10.1007/11926078_12
Roubtsova, E., Bosua, R.: Privacy as a Service (PraaS): a conceptual model of GDPR to construct privacy services. In: Shishkov, B. (ed.) BMSD 2021. LNBIP, vol. 422, pp. 170–189. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79976-2_10
Rutledge, L., Corbijn, J., Cuijpers, B., Wondal, L.: Rapid prototyping of business rule-based systems with controlled natural language and semantic web software. In: Shishkov, B. (ed.) 12th International Symposium on Business Modeling and Software Design (BMSD2022). Lecture Notes in Business Information Processing, vol. 453, pp. 3–20. Springer International Publishing AG (Jul 2022). https://doi.org/10.1007/978-3-031-11510-3_1
Rutledge, L., Mellema, P., Pietersma, T., Joosten, S.: Displaying triple provenance with extensions to the Fresnel vocabulary for semantic browsers. In: Proceedings of the Sixth International Workshop on the Visualization and Interaction for Ontologies and Linked Data. CEUR Workshop Proceedings, vol. 3023, pp. 103–114. CEUR-WS.org (Oct 2021)
Soerokromo, M.: Business Rule Traceability als hulpmiddel bij softwareontwikkeling in de justitiële context. Master’s thesis, Open University of the Netherlands, Heerlen, The Netherlands (2022)
The World Wide Web Consortium (W3C): RDF Schema 1.1 W3C recommendation 25 February (2014). https://www.w3.org/TR/rdf-schema/
The World Wide Web Consortium (W3C): text fragments. https://wicg.github.io/scroll-to-text-fragment/
The World Wide Web Consortium (W3C): web annotation data model. https://www.w3.org/TR/annotation-model/
de Warle, A.H.: Providing traceability in business rules to customers of a commercial organisation. Master’s thesis, Open University of the Netherlands, Heerlen, The Netherlands (2023)
Acknowledgments
This work comes from the Master’s Theses in the Traceable Rules Thesis Circle in the BPMIT (Business Process Management and Information Technology) Master’s program at the Open University of the Netherlands [1, 8, 18, 22]. Ella Roubtsova was the co-supervisor for the group and provided important feedback on their research.
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Rutledge, L., Berghuis, B., Lim, K., Soerokromo, M. (2023). A Web-Based Approach for Traceability in Rule-Based Business Information Systems. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2023. Lecture Notes in Business Information Processing, vol 483. Springer, Cham. https://doi.org/10.1007/978-3-031-36757-1_22
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