Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system

Yang, Wenli; Garg, Saurabh; Bai, Quan; Kang, Byeong Ho

doi:10.1016/j.eswa.2022.117089

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…al. [5] introduced a blockchain-based decentralized knowledge fusion system for conversation systems, highlighting its use of smart contracts for automated knowledge fusion and data integrity, with successful evaluation through case studies demonstrating its effectiveness and efficiency.…”

Section: Decentralised Knowledge Basementioning

confidence: 99%

WikiChain: An Improved Resilient, Pseudo-Transparent Knowledge Base

Priyadharsini,

et al. 2024

Preprint

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The traditional centralized knowledge base paradigm, exemplified by platforms like Wikipedia, grapples with numerous challenges like a solitary point of collapse, issues related to transparency, and potential integrity concerns in articles. To address these shortcomings, an innovative blockchain-enabled alternative is proposed which leverages the inherent features of transparency and decentralization offered by blockchain technology. This system ensures a secure and tamper-proof recording of articles by capitalizing on the unique attributes of blockchain. However, the integration of blockchain alone does not completely eradicate challenges, as instances of vandalism persist, and a robust validation process for articles within the system is lacking. To overcome these issues, our research aims to proactively prevent the inclusion of falsified articles by implementing a consortium blockchain by utilizing Contenders Selection (CS) and Dynamic Consortium Membership Determination (DCMD) algorithms. Furthermore, we address the challenge of missing articles from the InterPlanetary File System (IPFS) using Proof-of-Existence (POE) algorithm. This holistic solution is designed to significantly enhance the efficiency of the system and elevate the overall quality of articles. Our research presents promising results, with the percentage of approved articles compared to proposed articles falling within the range of 10% to 15%. Consequently, the data volume of the blockchain network in our system is 66.7% more effective than the existing decentralized Wikipedia model. Notably, the average block time of our proposed system exhibits a commendable 21% improvement compared to the existing system, emphasizing the potential for increased efficiency and reliability in our blockchain-enabled knowledge base.

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Section: Decentralised Knowledge Basementioning

confidence: 99%

WikiChain: An Improved Resilient, Pseudo-Transparent Knowledge Base

Priyadharsini,

et al. 2024

Preprint

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“…in intelligent IoT networks, a permissioned blockchain is leveraged for decentralized encrypted knowledge storage and sharing with a modified delegated proof-of-stake consensus approach where SCs implement an attribute-based searching algorithm for knowledge to achieve knowledge collaboration using keyword search [17]. A blockchain-based proposal for decentralized knowledge sharing in a conversation system leverages SCs to implement knowledge fusion with the aim of ensuring security execution and fairness without biasing fusion results due to the untampered nature of the knowledge in blockchain [18]. A hybrid on-chain and offchain SCs are leveraged for in-chain secure storage of knowledge adhering to data protection laws and off-chain artificial intelligence (fuzzy cognitive maps) computations and knowledge generation, providing a scalable knowledge management framework that has been effective in a use case for determining loan eligibility [66].…”

Section: Blockchain and Algorithm Aided Ethical Ksmentioning

confidence: 99%

“…Blockchain can facilitate ethical knowledge sharing in intelligent networks in numerous ways due to its nature of authenticity, irrefutability, semi-anonymity, loyalty, etc. First, Smart Contracts (SCs) have been leveraged for securing privacy and confidentiality by attribute-based searching [17], knowledge fusion [18], secure storage and access control [19], and ensuring openness and transparency by creating a marketplace and reward-driven knowledge sharing such as Jigsaw [20]. Secondly, we find that blockchain can ensure privacy and confidentiality by leveraging robust encryption techniques in blockchain to protect the sensitivity and intellectual properties of shared knowledge [21].…”

Section: Introductionmentioning

confidence: 99%

Ethical Knowledge Sharing Leveraging Blockchain: An Overview

Wijesekara

2024

Sci. Eng. Technol.

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The knowledge that is acquired through a learning process has ethical concerns when shared, as there can be restrictions on the parties who can use the piece of knowledge, redistribution approaches protecting the creator's rights, privacy, and confidentiality concerns, accuracy and trustworthiness, openness and transparency, and informed consent. Blockchain structure encompasses a series of coupled blocks that are intrinsically linked with the conservation of authenticity, ensuring irrefutability, and the semi-anonymity of transactions. As pioneers in reviewing BC-based ethical Knowledge Sharing (KS), we categorize the model into 4 classes and critically evaluate the literature relative to knowledge-associated features, ethical knowledge-sharing aspects, BC-associated features, and network features. We heaped a commencing sample of 69 document references by selecting the literature for eligibility conditions pursued from intellectual resource search platforms, leveraging a profound and overly extended-period technique. We investigate and emphasize that, owing to innate security properties, blockchain can facilitate ethical KS in numerous ways, such as leveraging a dedicated consensus approach for ethical KS (Class 1), leveraging blockchain itself for knowledge storage and sharing due to its mutation-proof, non-tamperable, fault tolerance features (Class 2), ensuring the confidentiality of knowledge by leveraging additional encryption techniques on blockchain (Class 3), and leveraging smart contracts for attribute-based searching, knowledge fusion, access control, reward-driven KS, etc. (Class 4). Critical evaluation unveils that from BC-based ethical KS frameworks, 50% utilize smart contracts with blockchain for knowledge-based activities, 90% leverage progressive BC architecture, 6.7% leverage proof-of-knowledge consensus, 93.4% share propositional knowledge, and 70% share explicit knowledge. Moreover, accuracy, openness and transparency, privacy, trustworthiness, truthfulness, and confidentiality have been the dominant factors in ethical KS principles of interest. Finally, we examine the openings and hurdles of the model of blockchain-based ethical KS, then propose actions to diminish them, and afterward present future directions, implications, and limitations for the concept.

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