Toward the Ontological Modeling of Smart Contracts: A Solidity Use Case

Cano-Benito, Juan; Cimmino, Andrea; García‐Castro, Raúl

doi:10.1109/access.2021.3115577

Cited by 13 publications

(3 citation statements)

References 30 publications

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“…In the domain of health insurance, people and health insurance organizations have enduring obstacles. The aforementioned issues have stimulated the investigation of utilizing blockchain and semantic web technologies to augment the efficacy of smart contracts inside this particular domain [10]. The underlying cause of these issues might be attributed to the divergent methodologies employed in the compensation of injuries arising from clinical trials across different nations.…”

Section: Related Workmentioning

confidence: 99%

Transforming the voting process integrating blockchain into e-voting for enhanced transparency and securiy

Tedyyana,

Ghazali,

Asnafi

et al. 2024

TELKOMNIKA

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This study introduces a novel e-voting system utilizing blockchain technology to address the challenges inherent to traditional voting methods. Traditional systems often suffer from inaccuracies, susceptibility to manipulation, and elevated costs. Conversely, while e-voting shows potential, issues related to transparency and security have curbed its full adoption. Our research overcomes these hurdles by integrating a system developed through the Kanban methodology, with the blockchain serving as the central repository for all election data. This approach boosts transparency and security, using public-private key pairs for each transaction, and simplifying blockchain access. Organizers initiate elections and define eligible voters; this data is then securely moved to the Ethereum blockchain. Voters can effortlessly use the system, casting votes and accessing real-time, unalterable results. Various communication protocols ensure system stability, with simulated cyberattacks showcasing its security. After exhaustive testing and refinement, areas for further enhancement have been identified. This innovative system offers unmatched transparency and trust in the voting process, marking a considerable leap for trustworthy elections, especially in small to medium-sized settings.

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Section: Related Workmentioning

confidence: 99%

Transforming the voting process integrating blockchain into e-voting for enhanced transparency and securiy

Tedyyana,

Ghazali,

Asnafi

et al. 2024

TELKOMNIKA

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show abstract

“…Bilgi çizgesine dair bir diğer önemli unsur, bilginin değişemez olabilmesidir [6,4]. Örneğin bir kitabı satın alan ya da okuyan kişiler değişebilirken, kitabın adının ve yazarının değişmez olması gerekir.…”

Section: Introductionunclassified

Novel Extensions to the Knowledge Graph Using the Hashing Mechanism

TAKAN

2023

International Journal of Advances in Engineering and Pure Sciences

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Bilginin doğasına ilişkin, onu şekillendiren çok çeşitli unsurlar bulunmaktadır. Örneğin güvenirlik, tutarlılık, değişmezlik ve bağlam gibi mekanizmalar bunların başında gelir. Ancak söz konusu mekanizmaların bilgi çizgesinde temsil edilmesi oldukça yaygın bir problemdir. Çalışmamızda bu problemin çözümüne katkıda bulunmak amacıyla, bilginin karmaşık doğasına ilişkin güven, tutarlılık, değişmezlik ve bağlam gibi temel mekanizmalar, hashing teknolojisi kullanılarak bilgi çizgesine entegre edilmiştir. Çalışmamızda bu eklentiler, bilgi çizgesinden ayrı tutularak, yapıların işlevselliklerinin bozulmaması sağlanmıştır. Geliştirdiğimiz eklentiler sayesinde bir bilgi değiştiğinde onu etkileyen tüm bilgilerin otomatik güncellenmesi, belirsizlik, bilgiler arasında sıralama yapılamaması, bazı bilgilerin değişmez olarak tutulamaması ve bilgiler arasında hızlı bir karşılaştırmanın yapılamaması gibi yaygın bilgi çizgesi problemleri, örnek senaryolar üzerinden test edilerek çözüme kavuşturulmuştur. Çalışmamızın, bilgi çizgesinin iyileştirilmesine yönelik literatüre ve bilgi çizgesini kullanan yapay zeka yazılımlarının geliştirilmesine katkı sunması beklenmektedir.

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“…Another vital element of the KG is that knowledge can be immutable ( Cano-Benito, Cimmino & García-Castro, 2021 ; Besançon et al, 2022 ). For example, while the people who buy or read a book can change, the book’s title and the author must be immutable.…”

Section: Introductionmentioning

confidence: 99%

Knowledge graph augmentation: consistency, immutability, reliability, and context

Takan¹

2023

PeerJ Computer Science

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A knowledge graph is convenient for storing knowledge in artificial intelligence applications. On the other hand, it has some shortcomings that need to be improved. These shortcomings can be summarised as the inability to automatically update all the knowledge affecting a piece of knowledge when it changes, ambiguity, inability to sort the knowledge, inability to keep some knowledge immutable, and inability to make a quick comparison between knowledge. In our work, reliability, consistency, immutability, and context mechanisms are integrated into the knowledge graph to solve these deficiencies and improve the knowledge graph’s performance. Hash technology is used in the design of these mechanisms. In addition, the mechanisms we have developed are kept separate from the knowledge graph to ensure that the functionality of the knowledge graph is not impaired. The mechanisms we developed within the scope of the study were tested by comparing them with the traditional knowledge graph. It was shown graphically and with t-test methods that our proposed structures have higher performance in terms of update and comparison. It is expected that the mechanisms we have developed will contribute to improving the performance of artificial intelligence software using knowledge graphs.

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Toward the Ontological Modeling of Smart Contracts: A Solidity Use Case

Cited by 13 publications

References 30 publications

Transforming the voting process integrating blockchain into e-voting for enhanced transparency and securiy

Transforming the voting process integrating blockchain into e-voting for enhanced transparency and securiy

Novel Extensions to the Knowledge Graph Using the Hashing Mechanism

Knowledge graph augmentation: consistency, immutability, reliability, and context

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