Relevant bibliographies by topics / Blockchains – Ontologie

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Blockchains – Ontologie'

Author: Grafiati
Published: 28 September 2022
Last updated: 28 January 2023

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Journal articles on the topic "Blockchains – Ontologie"

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Riza, Bob Subhan. "Blockchain Dalam Pendidikan: Lapisan Logis di Bawahnya." ADI Bisnis Digital Interdisiplin Jurnal 1, no. 1 (2020): 41–47. http://dx.doi.org/10.34306/abdi.v1i1.112.

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Edukasi merupakan proses bisnis yang selama berabad telah menjadi pilar pemerintahan dalam membangun bangsa. Proses pelaksanaan edukasi secara global masih belum ada perubahan yang mengikuti perkembangan zaman. Berbagai problem yang dihadapi saat ini oleh pelaksana penyedia jasa edukasi, dalam hal ini sebut saja permasalahan autentikasi dan verifikasi sertifikat yang merupakan luaran mikro maupun makro dari sebuah proses pembelajaran. Adanya mercusuar tentang Blockchain, disebut orang orang sebagai solusi dari masalah polemik pendidikan selama ini. Perpaduan ilmu antara bidang edukasi dan teknologi blockchain akan menciptakan revolusi baru dari industri pendidikan yang dirasa mandek dan tidak sesuai dengan perkembangan zaman saat ini. Terdapat berbagai pencerahan dari solusi ini, namun dirasa belum cukup untuk secara detail menjelaskan ontologi dari edukasi menggunakan blockchain, yang secara keseluruhan membahas tentang keberadaan blockchain for education berdasarkan kajian ilmu. Ontologi for education ini akan berguna sebagai platform literatur bagi peneliti yang akan memulai penelitian dasar dan terapan yang menjurus ke arah blockchain for education. Disamping itu, adanya kelemahan dan inefisiensi dari blockchain yaitu dari segi biaya, ruang penyimpanan, dan kecepatan akan diusulkan solusinya melalui in-chain dan off-chain protocol dalam bentuk framework. Alhasil, penelitian ini juga bisa menjadi landasan platform baru sebagai solusi bagi pemerintah dalam meluncurkan edukasi berbasis blockchain, yang menjadi cikal bakal untuk menciptakan pemerintahan berbasis blockchain.
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Prawiyogi, Anggy Giri, Rahman Rahman, Andoyo Sastromiharjo, Sulistiawati Sulistiawati, and Qurotul Aini. "Ontologi Blockchain Pada Karya Tulis Puisi Di Pendidikan Sekolah Dasar : Metode Merkle Root." CSRID (Computer Science Research and Its Development Journal) 13, no. 1 (2021): 23. http://dx.doi.org/10.22303/csrid.13.1.2021.24-34.

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<span id="docs-internal-guid-3ec79bf6-7fff-4851-dd51-fd043e0fcf36"><span>Saat ini dunia sedang menyaksikan pergeseran yang berbahaya dalam epidemi muncul SARS-CoV-2, agen kausatif (COVID-19) coronavirus. Infeksi COVID-19, dan angka kematian yang dilaporkan oleh World Health Organization (WHO) tentang epidemi COVID-19 ini memperkirakan meningkatnya ancaman terhadap kehidupan masyarakat dan ekonomi negara. Teknologi Blockchain memiliki potensi untuk merevolusi banyak industri, dikenal dengan tren digitalisasi berskala besar yang berperan penting dalam berbagai organisasi, khususnya dalam lembaga pendidikan. Lembaga pendidikan berperan penting untuk mencerdaskan generasi bangsa, sejajar dengan jaringan digital, jaringan produksi dan inovasi pasar pintar yang meliputi teknologi mendefinisikan ulang seluruh desain pembelajaran sosial belajar mengajar dan proses evaluasi dalam pendidikan dasar. Prestasi belajar pelajar dalam bentuk karya baca tulis puisi maupun transkrip atau sertifikat merupakan salah satu bentuk penting dalam konteks pengarsipan digital untuk memverifikasi adanya keaslian pada sebuah dokumen pada instansi pendidikan. Kurangnya perhatian masyarakat mempengaruhi ketidaktahuan dalam kemajuan teknologi blockchain yang memiliki keunggulan luar biasa, yang sangat mempengaruhi dalam kemajuan pada lembaga pendidikan. Penelitian ini mencakup pembahasan melalui ontologi dalam pemanfaatan metode merkle root untuk memberikan solusi terhadap masalah kurangnya edukasi dalam karya baca tulis puisi yang merupakan bagian terpenting dalam bidang pendidikan dan juga penerapan sertifikat dalam blockchain, yang ditandai dengan proses yang lambat dan ruang penyimpanan yang sangat minim. Penelitian ini menjadi solusi dalam memverifikasi keaslian dalam sebuah karya baca tulis puisi pengarsipan sertifikat dengan metode merkle root yang menyajikan ruang penyimpanan yang fleksibel dalam skala besar.</span></span>
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Petrović, Nenad, and Milorad Tošić. "SEMANTIC APPROACH TO SMART CONTRACT VERIFICATION." Facta Universitatis, Series: Automatic Control and Robotics 19, no. 1 (2020): 021. http://dx.doi.org/10.22190/fuacr2001021p.

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Vulnerabilities of smart contract are certainly one of the limiting factors for wider adoption of blockchain technology. Smart contracts written in Solidity language are considered due to common adoption of the Ethereum blockchain platform. Despite its popularity, the semantics of the language is not completely documented and relies on implicit mechanisms not publicly available and as such vulnerable to possible attacks. In addition, creating formal semantics for the higher-level language provides support to verification mechanisms. In this paper, a novel approach to smart contact verification is presented that uses ontologies in order to leverage semantic annotations of the smart contract source code combined with semantic representation of domain-specific aspects. The following aspects of smart contracts, apart from source code are taken into consideration for verification: business logic, domain knowledge, run-time state changes and expert knowledge about vulnerabilities. Main advantages of the proposed verification approach are platform independence and extendability.
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Jie Guo, Jie Guo, Dong Wang Jie Guo, Carlos Enrique Montenegro-Marin Dong Wang, and Vicente García-Díaz Carlos Enrique Montenegro-Marin. "Design and Research of Intelligent Screening System for Graduate Recruitment Based on Big Data Assisted Ontology-based Blockchain Design." 網際網路技術學刊 22, no. 6 (2021): 1429–42. http://dx.doi.org/10.53106/160792642021112206019.

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Kudumakis, Panos, Thomas Wilmering, Mark Sandler, Victor Rodriguez-Doncel, Laurent Boch, and Jaime Delgado. "The Challenge: From MPEG Intellectual Property Rights Ontologies to Smart Contracts and Blockchains [Standards in a Nutshell]." IEEE Signal Processing Magazine 37, no. 2 (2020): 89–95. http://dx.doi.org/10.1109/msp.2019.2955207.

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Mecheva, Teodora, and Nikolay Kakanakov. "Cybersecurity in Intelligent Transportation Systems." Computers 9, no. 4 (2020): 83. http://dx.doi.org/10.3390/computers9040083.

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Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have recently been trying to find their place in ITS security strategies. These approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory and ontologies. In conclusion, a correlation is made between the commented methods, the problems they solve and the architectural layers in which they are applied.
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Kim, Henry mname, Marek mname Laskowski, and Ning mname Nan. "A First Step in the Co-Evolution of Blockchain and Ontologies: Towards Engineering an Ontology of Governance at the Blockchain Protocol Level." SSRN Electronic Journal, 2018. http://dx.doi.org/10.2139/ssrn.3097443.

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Kurteva, Anelia, Tek Raj Chhetri, Harshvardhan J. Pandit, and Anna Fensel. "Consent through the lens of semantics: State of the art survey and best practices." Semantic Web, September 3, 2021, 1–27. http://dx.doi.org/10.3233/sw-210438.

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The acceptance of the GDPR legislation in 2018 started a new technological shift towards achieving transparency. GDPR put focus on the concept of informed consent applicable for data processing, which led to an increase of the responsibilities regarding data sharing for both end users and companies. This paper presents a literature survey of existing solutions that use semantic technology for implementing consent. The main focus is on ontologies, how they are used for consent representation and for consent management in combination with other technologies such as blockchain. We also focus on visualisation solutions aimed at improving individuals’ consent comprehension. Finally, based on the overviewed state of the art we propose best practices for consent implementation.
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Vazquez, Pavel, Kayoko Hirayama-Shoji, Steffen Novik, Stefan Krauss, and Simon Rayner. "Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences." Bioinformatics, May 27, 2022. http://dx.doi.org/10.1093/bioinformatics/btac362.

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Abstract Motivation Technical advances have revolutionized the life sciences and researchers commonly face challenges associated with handling large amounts of heterogeneous digital data. The Findable, Accessible, Interoperable and Reusable (FAIR) principles provide a framework to support effective data management. However, implementing this framework is beyond the means of most researchers in terms of resources and expertise, requiring awareness of metadata, policies, community agreements, and other factors such as vocabularies and ontologies. Results We have developed the Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations. The platform consists of (i) a blockchain based metadata quality control system, (ii) a private cloud-like storage system and (iii) a version control system. GADDS is built with containerized technologies, providing minimal hardware standards and easing scalability, and offers decentralized trust via transparency of metadata, facilitating data exchange and collaboration. As a use case, we provide an example implementation in engineered living material technology within the Hybrid Technology Hub at the University of Oslo. Availability Demo version available at https://github.com/pavelvazquez/GADDS Supplementary information Supplementary data are available at Bioinformatics online.
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Dissertations / Theses on the topic "Blockchains – Ontologie"

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Besançon, Léo. "Interopérabilité des Systèmes Blockchains." Thesis, Lyon, 2021. https://tel.archives-ouvertes.fr/tel-03789639.

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La Blockchain est une technologie disruptive. Elle s'intègre dans un écosystème décentralisé d’applications aux propriétés intéressantes : la transparence des transactions, l’auditabilité des applications, ou encore la résistance à la censure. Les domaines d'application sont variés, de la finance à la santé ou au jeu vidéo. La technologie a évolué depuis sa création en 2008 et possède de nombreuses perspectives. Néanmoins, le domaine rencontre de nombreux défis. Chaque Blockchain utilisant ses propres standards et modèles économiques, il subit notamment un manque d’interopérabilité à différents niveaux : entre les différents projets d'une Blockchain, entre les différentes Blockchains, ainsi qu’entre les Blockchains et les autres systèmes. Un aspect important de l'interopérabilité des systèmes Blockchains est leur interopérabilité sémantique, qui nécessite de définir formellement les concepts liés. Un autre défi est la conception d'applications Blockchains décentralisées. Ces applications intègrent la technologie Blockchain, mais aussi d'autres services qui permettent de satisfaire les contraintes de l'application pour lesquelles la Blockchain n'est pas adaptée. Cependant, il est complexe de choisir les services Blockchain les plus adaptés à une application donnée. Cette thèse a pour objectif la proposition d’un cadre permettant d’améliorer l’interopérabilité des applications Blockchain décentralisées. Pour cela, nous développons une méthodologie d'aide à la conception de ces applications, ainsi qu'une ontologie Blockchain qui aide à formaliser leurs concepts. Ce cadre est validé dans le domaine des jeux vidéo Blockchain. Cet environnement est complexe, car il nécessite le partage de données volumineuses. De plus, les contraintes de latence doivent être respectées<br>Blockchains are a disruptive technology. They enable an ecosystem for decentralized applications with interesting properties: transaction transparency, application auditability or censorship resistance. It has applications in various fields, such as finance, healthcare or video games. It has evolved a lot since its creation in 2008, and presents numerous perspectives. However, the field faces many challenges, in particular a lack of interoperability at several levels: between projects on a same Blockchain, between different Blockchains, or between Blockchains and other systems. One important aspect of Blockchain systems interoperability is semantic interoperability. It relies on formal definitions of the related concepts. Another challenge is the design of decentralized Blockchain applications. These applications integrate Blockchain technology, but also other services that satisfy the constraints of the application that Blockchain is not suitable for. However, it is complex to choose the most suited Blockchain service for a given application. With this PhD work, we propose a framework that can improve interoperability for decentralized Blockchain applications. We achieve this with the design of a methodology and a Blockchain ontology that help formalize the concepts related to an application. This framework is validated in the context of Blockchain video game development. It is a complex use case, as it needs to share storage intensive data and satisfy the latency constraints
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Loukil, Faiza. "Towards a new data privacy-based approach for IoT." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE3044.

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Les objets connectés collectent et partagent des données dans différents domaines tels que les maisons intelligentes, les réseaux de distribution d'électricité intelligents et la santé. Selon Cisco, le nombre d'objets connectés devrait atteindre 50 milliards d'ici 2030 avec une quantité de données produites d'environ cinq cents zettaoctets. Toutefois, ces données recueillies sont généralement très riches et comprennent souvent des métadonnées telles que l'emplacement, l'information temporelle et le contexte, rendant ainsi possible de déduire facilement les habitudes personnelles, les comportements et les préférences des individus. De plus, l'analyse de ces données recueillies nécessite la collaboration de plusieurs intervenants. Ainsi, en raison du niveau élevé de la sensibilité des données et du manque de confiance entre les parties impliquées dans un tel réseau, ces données ne doivent pas être partagées, sans que la vie privée du propriétaire des données soit respectée. En effet, la protection de la vie privée des données issues des objets connectés est devenue un défi majeur, en particulier avec la pression croissante de la législation. Nos travaux de recherche sont focalisés sur trois problématiques complémentaires qui sont la problématique de la modélisation des exigences de la protection de la vie privée, la problématique de monitoring les objets connectés et la garantie du respect d'une politique commune qui correspond à la fois aux préférences des propriétaires des données et aux conditions des consommateurs des données, et enfin la problématique de protection de la vie privée durant tout le cycle de vie des données générées par ces objets dans une architecture décentralisée qui élimine le besoin de faire confiance aux parties impliquées dans le réseau d'objets connectés. Afin de répondre à ces problématiques, nous avons proposé dans un premier lieu une ontologie appelée LIoPY qui modélise la métadonnée ainsi que les contraintes de manipulation des données en adéquation avec les normes et les lois de protection de la vie privée. Puis, pour aligner sémantiquement les exigences en matière de protection de la vie privée des propriétaires des données ainsi que des consommateurs des données, nous avons étendu l'ontologie par des relations sémantiques d'arborescence et des règles sémantiques d'inférence qui génèrent une politique de protection de la vie privée commune. Cette politique décrit comment les données doivent être manipulées une fois partagées avec un consommateur donné. Afin de garantir le respect de cette politique commune, nous avons introduit le framework PrivBlockchain, un framework qui implique toutes les parties intervenantes dans un réseau d'objets connectés dans la protection des données qui en sont issues lors des phases de collecte, du transfert, du stockage jusqu'à la phase de l'utilisation ou bien l'analyse. Le framework proposé repose, d'une part, sur la technologie de la blockchain d'où le support d'une architecture décentralisée, tout en éliminant le besoin de faire confiance aux parties impliquées dans le réseau d'objets connectés et, d'autre part, sur les contrats dits « intelligents » d'où le support d'une politique auto-appliquée et lisible par la machine. Son rôle est de protéger la vie privée lors des phases de collecte, du transfert, du stockage jusqu'à la phase de l'analyse des données issues des objets connectés. Enfin, nous avons validé notre proposition par l'élaboration et l'implantation d'un prototype afin de prouver sa faisabilité et analyser ses performances<br>The Internet of Things (IoT) connects and shares data collected from smart devices in several domains, such as smart home, smart grid, and healthcare. According to Cisco, the number of connected devices is expected to reach 500 Billion by 2030. Five hundred zettabytes of data will be produced by tremendous machines and devices. Usually, these collected data are very sensitive and include metadata, such as location, time, and context. Their analysis allows the collector to deduce personal habits, behaviors and preferences of individuals. Besides, these collected data require the collaboration of several parties to be analyzed. Thus, due to the high level of IoT data sensitivity and lack of trust on the involved parties in the IoT environment, the collected data by different IoT devices should not be shared with each other, without enforcing data owner privacy. In fact, IoT data privacy has become a severe challenge nowadays, especially with the increasing legislation pressure. Our research focused on three complementary issues, mainly (i) the definition of a semantic layer designing the privacy requirements in the IoT domain, (ii) the IoT device monitoring and the enforcement of a privacy policy that matches both the data owner's privacy preferences and the data consumer's terms of service, and (iii) the establishment of an end-to-end privacy-preserving solution for IoT data in a decentralized architecture while eliminating the need to trust any involved IoT parties. To address these issues, our work contributes to three axes. First, we proposed a new European Legal compliant ontology for supporting preserving IoT PrivacY, called LIoPY that describes the IoT environment and the privacy requirements defined by privacy legislation and standards. Then, we defined a reasoning process whose goal is generating a privacy policy by matching between the data owner's privacy preferences and the data consumer's terms of service. This privacy policy specifies how the data will be handled once shared with a specific data consumer. In order to ensure this privacy policy enforcement, we introduced an IoT data privacy-preserving framework, called PrivBlockchain, in the second research axis. PrivBlockchain is an end-to-end privacy-preserving framework that involves several parties in the IoT environment for preserving IoT data privacy during the phases of collection, transmission, storage, and processing. The proposed framework relied on, on the one hand, the blockchain technology, thus supporting a decentralized architecture while eliminating the need to trust any involved IoT parties and, on the other hand, the smart contracts, thus supporting a machine-readable and self-enforcing privacy policy whose goal is to preserve the privacy during the whole data lifecycle, covering the collection, transmission, storage and processing phases. Finally, in the third axis, we designed and implemented the proposal in order to prove its feasibility and analyze its performances
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Ленько, Василь Степанович. "Методи та засоби управління персональними знаннями в інтелектуальних системах". Diss., Національний університет "Львівська політехніка", 2021. https://ena.lpnu.ua/handle/ntb/56148.

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Books on the topic "Blockchains – Ontologie"

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Sfetcu, Nicolae. Philosophy of Blockchain Technology - Ontologies. Independently Published, 2019.

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Book chapters on the topic "Blockchains – Ontologie"

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de Kruijff, Joost, and Hans Weigand. "Understanding the Blockchain Using Enterprise Ontology." In Advanced Information Systems Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59536-8_3.

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Narasimha, V. B., B. Sujatha, and S. Nagaprasad. "An Open-Source Web-Based OWL Ontology Editing and Browsing Tool: Swoop." In The Role of IoT and Blockchain. Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003048367-33.

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Bella, Giampaolo, Domenico Cantone, Cristiano Longo, Marianna Nicolosi Asmundo, and Daniele Francesco Santamaria. "Blockchains Through Ontologies: The Case Study of the Ethereum ERC721 Standard in oasis." In Intelligent Distributed Computing XIV. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96627-0_23.

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Curty, Simon, Hans-Georg Fill, Rafael S. Gonçalves, and Mark A. Musen. "An Architecture for Attesting to the Provenance of Ontologies Using Blockchain Technologies." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11510-3_11.

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Easton, John M. "Blockchains." In Research Anthology on Blockchain Technology in Business, Healthcare, Education, and Government. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5351-0.ch070.

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In recent years, the UK railway industry has struggled with the effects of poor integration of data across ICT systems, particularly when that data is being used across organizational boundaries. Technical progress is being made by the industry towards enabling data sharing, but an open issue remains around how the costs of gathering and maintaining pooled information can be fairly attributed across the stakeholders who draw on that shared resource. This issue is particularly significant in areas such as Remote Condition Monitoring, where the ability to analyse the network at a whole-systems level is being blocked by the business cases around the purchase of systems as silos. Blockchains are an emerging technology that have the potential to revolutionize the management of transactions in a number of industrial sectors. This chapter will address the outstanding issues around the fair attribution of costs and benefits of data sharing in the rail industry by proposing blockchains as a forth enabler of the rail data revolution, alongside ESB, ontology, and open data.
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Easton, John M. "Blockchains." In Innovative Applications of Big Data in the Railway Industry. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3176-0.ch002.

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In recent years, the UK railway industry has struggled with the effects of poor integration of data across ICT systems, particularly when that data is being used across organizational boundaries. Technical progress is being made by the industry towards enabling data sharing, but an open issue remains around how the costs of gathering and maintaining pooled information can be fairly attributed across the stakeholders who draw on that shared resource. This issue is particularly significant in areas such as Remote Condition Monitoring, where the ability to analyse the network at a whole-systems level is being blocked by the business cases around the purchase of systems as silos. Blockchains are an emerging technology that have the potential to revolutionize the management of transactions in a number of industrial sectors. This chapter will address the outstanding issues around the fair attribution of costs and benefits of data sharing in the rail industry by proposing blockchains as a forth enabler of the rail data revolution, alongside ESB, ontology, and open data.
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Scrocca, Mario, Marco Comerio, Alessio Carenini, and Irene Celino. "Modelling Business Agreements in the Multimodal Transportation Domain Through Ontological Smart Contracts." In Towards a Knowledge-Aware AI. IOS Press, 2022. http://dx.doi.org/10.3233/ssw220016.

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The blockchain technology provides integrity and reliability of the information, thus offering a suitable solution to guarantee trustability in a multi-stakeholder scenario that involves actors defining business agreements. The Ride2Rail project investigated the use of the blockchain to record as smart contracts the agreements between different stakeholders defined in a multimodal transportation domain. Modelling an ontology to represent the smart contracts enables the possibility of having a machine-readable and interoperable representation of the agreements. On one hand, the underlying blockchain ensures trust in the execution of the contracts, on the other hand, their ontological representation facilitates the retrieval of information within the ecosystem. The paper describes the development of the Ride2Rail Ontology for Agreements to showcase how the concept of an ontological smart contract, defined in the OASIS ontology, can be applied to a specific domain. The usage of the designed ontology is discussed by describing the modelling as ontological smart contracts of business agreements defined in a ride-sharing scenario.
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Mejri, Sarra, and Sonia Ayachi Ghannouchi. "Towards a New Approach for Intelligent BPM Based on Technologies 4.0." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210030.

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Traditional Business Process Management (BPM) should take advantage from the innovations brought by technologies such as Social Media, Internet of Things, Big Data Analytics, Artificial Intelligence, Blockchain, Augmented Reality, Additive Manufacturing, etc. This leads to the emergence of Intelligent BPM (iBPM) which consists of adding smart technologies and business intelligence to BPM. Selecting the most appropriate and adequate technologies is a complex task in such a harsh environment. Thereby, we propose an approach for selecting the most suitable technologies 4.0 in order to improve business processes effectively in this context of iBPM. For this purpose, it is worth noting that considering performance criteria can help us to integrate a specific intelligent technology to a given business process and it is important to develop an iBPM ontology as a basic step of our approach.
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Conference papers on the topic "Blockchains – Ontologie"

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Ferreira, Célio Márcio Soares, Charles Tim Batista Garrocho, Carlos Frederico Marcelo da Cunha Cavalcanti, Jorge Sá Silva, and Ricardo Augusto Rabelo Oliveira. "A middleware for systems consumes Ethereum data in soft real-time: a Semantic Web approach." In Anais Estendidos do Simpósio Brasileiro de Engenharia de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbesc_estendido.2021.18503.

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Blockchain is already advancing in journeys beyond cryptocurrency applications, and Ethereum, already called the world's computer, is going on a path that intends to reinvent the internet or Web 3.0, currently the leading platform for deploying so-called distributed applications (DApp). The growth of these Dapps in different spheres of society, as Smart Cities and Industry 4.0 IoT applications demand new proposals and models that integrate Ethereum and its ecosystem data with existing datasets on the traditional Web. This work presents our efforts to apply ontologies representing an Ethereum network and ecosystem using the Semantic Web model to extract and link its data. We show EthExtras a new ontology that extends and simplifies the EthOn, and as proof of concept and sample of use, we design a middleware web that exposed as RDF graphs the Ethereum data in soft real-time.
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Summerer, Christoph, Emanuel Regnath, Hans Ehm, and Sebastian Steinhorst. "Human-based Consensus for Trust Installation in Ontologies." In 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE, 2021. http://dx.doi.org/10.1109/icbc51069.2021.9461140.

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Aparício, Marta, Sérgio Guerreiro, and Pedro Sousa. "Automated DEMO Action Model Implementation using Blockchain Smart Contracts." In 12th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010147602830290.

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Niu, Yue, and Hongjie Zhang. "A Self-Aggregated Hierarchical Topic Model for Short Texts." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111212.

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With the growth of the internet, short texts such as tweets from Twitter, news titles from the RSS, or comments from Amazon have become very prevalent. Many tasks need to retrieve information hidden from the content of short texts. So ontology learning methods are proposed for retrieving structured information. Topic hierarchy is a typical ontology that consists of concepts and taxonomy relations between concepts. Current hierarchical topic models are not specially designed for short texts. These methods use word co-occurrence to construct concepts and general-special word relations to construct taxonomy topics. But in short texts, word cooccurrence is sparse and lacking general-special word relations. To overcome this two problems and provide an interpretable result, we designed a hierarchical topic model which aggregates short texts into long documents and constructing topics and relations. Because long documents add additional semantic information, our model can avoid the sparsity of word cooccurrence. In experiments, we measured the quality of concepts by topic coherence metric on four real-world short texts corpus. The result showed that our topic hierarchy is more interpretable than other methods.
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5

Chen, Biqiong, Yanhua Liu, and YaNing Zheng. "Research on Ontology-based Network Security Knowledge Map." In 2018 International Conference on Cloud Computing, Big Data and Blockchain (ICCBB). IEEE, 2018. http://dx.doi.org/10.1109/iccbb.2018.8756379.

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Guerreiro, Sérgio, Wided Guédria, Robert Lagerström, and Steven van Kervel. "A Meta Model for Interoperability of Secure Business Transactions - Using BlockChain and DEMO." In 9th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006517502530260.

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Mohsen, Wa'el, Mostafa Aref, and Khaled ElBahnasy. "Blockchain as a Platform for Collaborative Ontology Evolution." In ICFET 2020: 2020 The 6th International Conference on Frontiers of Educational Technologies. ACM, 2020. http://dx.doi.org/10.1145/3404709.3404769.

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Hardini, Marviola, Qurotul Aini, Untung Rahardja, Ria Dwi Izzaty, and Adam Faturahman. "Ontology of Education Using Blockchain: Time Based Protocol." In 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2020. http://dx.doi.org/10.1109/icoris50180.2020.9320807.

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Wu, Xing, Fengxia Han, and Hao Deng. "An Ontology Based Resource Description Model for Blockchain-IoT." In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2021. http://dx.doi.org/10.1109/qrs-c55045.2021.00141.

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Abu Musa, Tahani Hussein, and Abdelaziz Bouras. "Anomaly Detection in Blockchain-enabled Supply Chain: An Ontological Approach." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0169.

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In our proposed work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the global Supply Chain, improve the multi-level business processes workflow in the Supply Chain domain, and will optimize the processes in the Supply Chain in terms of security and automation. In the proposed work Ontology is utilized to provide anomaly classification in business transactions, based on crafted SWRL rules for that purpose. Our work has been evaluated based on logs generated from simulating a generic business process model related to a procurement scenario, and the findings show that our framework can detect and classify anomalous transactions form those logs.
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