# Trusted Data Access Control Based on Logistics Business Collaboration Semantics
## 7 Conclusions and Future Work  
As the demand for data exchange grows, particularly in the logistics sector, it has become increasingly pressing. The logistics industry involves substantial information exchange and collaboration across various aspects, such as cargo transportation and warehouse management. Consequently, establishing an efficient and reliable data exchange platform, along with a robust data access control mechanism, is of paramount importance to the logistics sector. This article utilizes semantics in collaborative logistics business processes to establish a trusted data access control mechanism in a decentralized environment. This model not only solves the problem of semantic interoperability between heterogeneous logistics entities, but also achieves unified authorization and access control, thereby addressing the contradiction between user privacy and data sharing. In addition, in order to effectively address the challenges of heterogeneity and data privacy in logistics business entity information systems, and achieve controllable data exchange, this article improves Ontop by integrating the access control scheme proposed in this article into Ontop, named AC_Ontop, on the basis of achieving information exchange and semantic unity among various logistics business entities. This method can not only meet the need for data to remain local, but also ensures controllable data sharing, which helps to improve collaboration and efficiency in the logistics field. Although the model proposed in this article can solve some of the problems in distributed secure access to logistics data, there are still some issues that need further research, such as rule readability and ease of writing. Our future work will focus on addressing these issues to improve the effectiveness and applicability of the model. Conceptualization, D.F. ; funding acquisition, D.F. ; methodology, X.Z. ; supervision, Y.-C.C. and C.J. ; validation, X.Z. ; writing--original draft, X.Z. ; writing--review and editing, X.Z. ; data curation, L.W. and L.X. All authors have read and agreed to the published version of the manuscript. Figure 9: Data query and access inference time under different number of requests. Funding: This research was funded by the Shandong Provincial Natural Science Foundation (ZR2022 MF331), the National Natural Science Foundation of China (61833005), and the Development Plan of Youth Innovation Team in Universities of Shandong Province. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Datasets can be accessed upon request by the corresponding author. Acknowledgments: The authors appreciate all reviewers for their insightful comments and constructive suggestions. Conflicts of Interest: The authors declare no conflicts of interest. References  
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