Abstract
In the field of computer science, knowledge refers to organized and meaningful information derived from the processing and interpretation of data. It plays a pivotal role in guiding decision-making, understanding complex systems, solving problems, or predicting future events. Consequently, knowledge data often faces the risks of alteration or theft by attackers. Given that many knowledge datasets may contain sensitive information, such as personal privacy, trade secrets, or national security-related data, ensuring the security of knowledge data poses a significant challenge. Knowledge provenance is a technology that has garnered considerable attention for its ability to ensure the integrity of knowledge data during transmission, thereby enhancing its credibility. This paper presents the design of a blockchain-based knowledge data provenance and sharing system, which leverages blockchain technology to achieve trustworthy provenance and secure sharing of knowledge data. Comprehensive comparative experiments conducted on a consortium blockchain confirm that our proposed solution exhibits robust performance and security.
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References
Russell, S.J., Norvig, P.: Artificial intelligence a modern approach, London (2010)
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247–1250 (2008)
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., et al. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_52
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E., Mitchell, T.: Toward an architecture for never-ending language learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 24, pp. 1306–1313 (2010)
Corcoglioniti, F., Rospocher, M., Cattoni, R., Magnini, B., Serafini, L.: The knowledgestore: a storage framework for interlinking unstructured and structured knowledge. Inter. J. Semantic Web Inform. Syst. (IJSWIS) 11(2), 1–35 (2015)
Zhang, Y., Gai, K., Wei, Y., Zhu, L.: BS-KGS: blockchain sharding empowered knowledge graph storage. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, S.-Y. (eds.) KSEM 2021. LNCS (LNAI), vol. 12817, pp. 451–462. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82153-1_37
Wang, Y., Yin, X., Zhu, H., Hei, X.: A blockchain based distributed storage system for knowledge graph security. In: Sun, X., Wang, J., Bertino, E. (eds.) ICAIS 2020. LNCS, vol. 12240, pp. 318–327. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57881-7_29
Zhang, H., Li, G., Zhang, Y., Gai, K., Qiu, M.: Blockchain-based privacy-preserving medical data sharing scheme using federated learning. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, S.-Y. (eds.) KSEM 2021. LNCS (LNAI), vol. 12817, pp. 634–646. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82153-1_52
Hu, S., Hou, L., Chen, G., Weng, J., Li, J.: Reputation-based distributed knowledge sharing system in blockchain. In: Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pp. 476–481 (2018)
Philsoophian, M., Akhavan, P., Namvar, M.: The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Manag. Decis. 60(3), 784–805 (2022)
Wang, S., Huang, C., Li, J., Yuan, Y., Wang, F.-Y.: Decentralized construction of knowledge graphs for deep recommender systems based on blockchain-powered smart contracts. IEEE Access 7, 136951–136961 (2019)
Li, H., Gai, K., Zhu, L., Jiang, P., Qiu, M.: Reputation-based trustworthy supply chain management using smart contract. In: Qiu, M. (ed.) ICA3PP 2020. LNCS, vol. 12454, pp. 35–49. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60248-2_3
Djenouri, Y., Srivastava, G., Belhadi, A., Lin, J.C.-W.: Intelligent blockchain management for distributed knowledge graphs in iot 5g environments. Trans. Emerging Telecommun. Technol. 35(4), e4332 (2024)
Li, Y., Yin, H., Gai, K., Zhu, L., Wang, Q.: Blockchain-as-a-service powered knowledge graph construction. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, S.-Y. (eds.) KSEM 2021. LNCS (LNAI), vol. 12817, pp. 500–511. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-82153-1_41
Qin, R., Yuan, Y., Wang, F.-Y.: Blockchain-based knowledge automation for cpss-oriented parallel management. IEEE Trans. Comput. Soc. Syst. 7(5), 1180–1188 (2020)
Liang, H., Guo, Y., Gai, K.: A blockchain-based hierarchical storage method for supply chain data. In: 2023 IEEE 8th International Conference on Smart Cloud (SmartCloud), pp. 105–110. IEEE (2023)
Acknowledgements
This work is partially supported by the National Key Research and Development Program of China (Grant No. 2021YFB2701300), the National Natural Science Foundation of China (Grant No. 62372044), and the Open Topics of Key Laboratory of Blockchain Technology and Data Security, The Ministry of Industry and Information Technology of the People’s Republic of China (Grant No. 20242217).
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Liang, H., Guo, Y., Yu, J., Dong, H., Gai, K. (2024). KDTSS: A Blockchain-Based Scheme for Knowledge Data Traceability and Secure Sharing. In: Cao, C., Chen, H., Zhao, L., Arshad, J., Asyhari, T., Wang, Y. (eds) Knowledge Science, Engineering and Management. KSEM 2024. Lecture Notes in Computer Science(), vol 14887. Springer, Singapore. https://doi.org/10.1007/978-981-97-5501-1_31
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