Relevant bibliographies by topics / Tokenisation

Contents

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

Academic literature on the topic 'Tokenisation'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Tokenisation"

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Lima, Gonçalo, Robert Barnes, and Charles Kerrigan. "The benefits of asset tokenisation within securitisation." Journal of Securities Operations & Custody 16, no. 4 (September 1, 2024): 366. http://dx.doi.org/10.69554/jetd8525.

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Securitisation has allowed banks to move from an originate-to-hold to an originate-to-distribute model. While it is widely accepted that this helped banks to achieve higher profitability and diversification, it is also regarded as the main cause of the 2007–08 global financial crisis. The lack of transparency between the securities issued and the performance of the underlying loans led to extreme risk taking and amplified the impacts once the loans started to underperform. This paper explores asset tokenisation, which can bring similar benefits to securitisation while enabling more effective management of the risks due to the traceability and immutability of distributed ledger technology (DLT). The paper argues that tokenisation of assets has now progressed beyond the experimentation phase and is being adopted by major commercial banks, central banks and financial market infrastructures (FMI). In addition, it describes the regulatory tailwinds for market participants to get involved in deploying and using the technology that makes tokenisation possible. While tokens and securities are both claims on assets, tokenisation’s additional capabilities of traceability and programmability enable the terms of a claim to be modified programmatically under specific circumstances, for example through a smart contract. A further positive attribute of tokenisation is that it can significantly improve and compress the workflow of existing and new securities, bringing considerable benefits from both operational and cost perspectives. The paper goes on to argue that generalised adoption of DLT along with harmonised standards, interoperability and integration for tokenisation feature among key requirements on which market participants and technology providers are actively working. Finally, the paper makes the point that cryptographically proven data also acts as a stepping-stone for high-quality artificial intelligence (AI) implementations, which can continue to expand productivity and profitability for regulated financial institutions.
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B, SONIKA. "Financial and Operational Impacts of Tokenization in Enterprise Environments – A Case Study of Palo Alto Networks." International Scientific Journal of Engineering and Management 04, no. 05 (May 16, 2025): 1–9. https://doi.org/10.55041/isjem03654.

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INTRODUCTION With the increasing dependency on digital technology, finances are becoming ever more susceptible to cyberattacks, data theft, and fraud. As online banking, e- commerce, and mobile wallets have been rapidly increasing, never before has it been so crucial to have secure and sustainable digital infrastructures. One of the most important technological innovations for protecting sensitive financial data is tokenisation, a method that substitutes sensitive information, like credit card numbers and personally identifiable information (PII), with special identifiers called tokens. These tokens, which are worthless to exploit, guarantee that even if systems are breached, the original sensitive information is still safe. This report investigates the financial and operational impacts of tokenisation, in this case, in enterprise settings like Palo Alto Networks, a top cybersecurity company. In contrast to conventional research that mainly addresses the technical or cybersecurity implications of tokenisation, this research focuses on the financial and G&A operation impacts of tokenisation. It seeks to examine how tokenisation affects routine operations like financial reporting, compliance management, cost control, and audit readiness. The author's internship experience with Palo Alto Networks, assisting IT and G&A teams with month-end activities and financial reporting, brought to the fore the tangible fiscal benefits of tokenisation. To illustrate, not only does tokenisation lower auditing expenses, but it also minimises the fiscal liability of data breaches and simplifies compliance with rules such as PCI-DSS, GDPR, and SOX. With the growing relevance of tokenisation in regulatory as well as operational finance, financial professionals must appreciate the cost, compliance, and risk implications of security technologies. Hence, this report aims to fill the gap between technology implementation and financial operation, highlighting interdependencies between security investments and enterprise financial performance. With primary research, such as surveys and interviews with the finance and IT personnel of Palo Alto Networks, this research will have real-time data from the practical uses of tokenisation. The results will advise how financial operations evolve according to changing cybersecurity protocols and how technologies such as tokenisation are incorporated into financial planning and strategy. In a time when digital transformation is redefining industries, tokenisation presents a scalable and efficient way to secure financial information. This study will help one understand how tokenisation, being a critical security control, offers concrete financial and operational benefits to organisations, assisting finance teams in aligning strategies with risk management and security protocols.
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Sengounder, Mr Nallasivam. "Modern Real Estate Investment Methods for Public Accessibility and the Global Rise of Real Estate Tokenization: A Case Study on Brazil and Thailand." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (March 31, 2025): 635–38. https://doi.org/10.22214/ijraset.2025.67332.

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The real estate industry is undergoing a profound transformation with the integration of digital investment methods, particularly real estate tokenisation. This modern investment approach leverages blockchain technology to divide property ownership into digital tokens, making real estate assets more accessible to a broader range of investors. Tokenisation facilitates fractional ownership by reducing the financial barriers typically associated with property investments and allowing individuals to acquire portions of valuable real estate assets rather than whole properties. This study investigates the impacts of tokenisation on public access to real estate investments in Brazil and Thailand, highlighting their effects on market growth, investor participation, and economic sustainability. This case study looks at the regulatory frameworks, new market trends, and technological advances in these regions and compares how they were adopted, how far they have come, and the problems that come with that. The researchers seek to determine how tokenisation has influenced real estate investment strategies, reshaped traditional ownership models, and fostered economic inclusion. Additionally, it evaluates the broader implications of tokenisation for the global real estate sector, offering insights into its future trajectory.
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Pretorius, Laurette, Biffie Viljoen, Ansu Berg, and Rigardt Pretorius. "Tswana finite state tokenisation." Language Resources and Evaluation 49, no. 4 (December 24, 2014): 831–56. http://dx.doi.org/10.1007/s10579-014-9292-1.

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ТУЛЬЧИНСЬКА, Світлана, та Микита ФАЛЬКО. "УПРАВЛІННЯ АКТИВІЗАЦІЄЮ ФІНАНСОВОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВА НА ОСНОВІ ТОКЕНІЗАЦІЇ". Herald of Khmelnytskyi National University. Economic sciences 334, № 5 (26 вересня 2024): 143–50. https://doi.org/10.31891/2307-5740-2024-334-19.

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The article dedicated the current state of management of activation of the financial potential of enterprises in Ukraine on the basis of analysis of the total liquidity, structure of current assets and liabilities of economic entities. The authors formulate strategies for managing the activation of financial potential - activation of assets, activation of equity and liabilities, parallel activation of assets and liabilities - and their main components. Approaches to the implementation of the proposed strategies are defined, which are divided into two main types - classical and alternative. The first approach is based on traditional methods of financial management, while the second approach - alternative - proposes the introduction of the latest digital technologies, such as blockchain, and the use of online platforms to improve the efficiency of financial resource management. The article focuses on the model of the alternative approach, in particular, the process of asset tokenisation, which is considered as an innovative way of managing the activation of the financial potential of enterprises. The advantages of asset tokenisation, which allows enterprises to increase their liquidity, attract additional financial resources, and ensure greater transparency and security of operations through blockchain technology, are considered. The authors focus on the feasibility of applying tokenisation of securities in Ukraine based on the low level of development of the stock market in the country, the high level of perception of cryptocurrency in the country, the developed regulatory framework and the technical feasibility of tokenisation. The article provides a detailed algorithm of the securities tokenisation process, which can be used as a basis for further development of financial technologies in Ukraine.
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Fam, Rashel, and Yves Lepage. "A Study of Analogical Density in Various Corpora at Various Granularity." Information 12, no. 8 (August 5, 2021): 314. http://dx.doi.org/10.3390/info12080314.

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In this paper, we inspect the theoretical problem of counting the number of analogies between sentences contained in a text. Based on this, we measure the analogical density of the text. We focus on analogy at the sentence level, based on the level of form rather than on the level of semantics. Experiments are carried on two different corpora in six European languages known to have various levels of morphological richness. Corpora are tokenised using several tokenisation schemes: character, sub-word and word. For the sub-word tokenisation scheme, we employ two popular sub-word models: unigram language model and byte-pair-encoding. The results show that the corpus with a higher Type-Token Ratio tends to have higher analogical density. We also observe that masking the tokens based on their frequency helps to increase the analogical density. As for the tokenisation scheme, the results show that analogical density decreases from the character to word. However, this is not true when tokens are masked based on their frequencies. We find that tokenising the sentences using sub-word models and masking the least frequent tokens increase analogical density.
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Milkau, Udo. "Will tokenisation deliver efficiency? And what kind?" Journal of Securities Operations & Custody 17, no. 1 (December 1, 2024): 79. http://dx.doi.org/10.69554/gcpr5193.

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This paper attempts to provide a careful and balanced look at some of the benefits and challenges of tokenisation of securities. A fundamental problem is the lack of consistency in how ‘tokenisation’ should be defined. According to a report by McKinsey & Company in 2023, ‘Tokenization adoption was poised for success six years ago, but progress was limited … the path could be different this time’. In the past, tokenisation was: (1) limited to a process of creating a representation of financial, intellectual or physical assets on a blockchain (ie distributed ledger technology [DLT]); and (2) discussed as a narrative of disintermediation and programmability as a basis for efficiency gains. As it became clear that DLT, with its basic game-theoretical approach, comes with high costs and opaque governance, traditional platforms with high efficiency such as the European TARGET2-Security (T2S) with atomic settlement and delivery-versus-payment (DvP) show up as blueprints for efficiency. A proposal of the Bank for International Settlement (BIS) for a unified ledger, Project Guardian of the Monetary Authority of Singapore (MAS), both in 2023, and an announcement of the U.S. Securities Industry and Financial Markets Association (SIFMA) in 2024 about ‘settlement on a common regulated venue … [of] tokenized assets’ can be regarded as paradigms for a new and pragmatic approach, with coordination and synchronisation as key objectives in the context of financial market infrastructures.
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Martin, Luther. "Protecting credit card information: encryption vs tokenisation." Network Security 2010, no. 6 (June 2010): 17–19. http://dx.doi.org/10.1016/s1353-4858(10)70084-2.

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Haggett, Shawn, and Greg Knowles. "Tokenisation and compression of Java class files." Journal of Systems Architecture 58, no. 1 (January 2012): 1–12. http://dx.doi.org/10.1016/j.sysarc.2011.09.002.

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Barbaroux, Nicolas, and Jean Barthélemy. "Quel support monétaire pour accompagner la « tokenisation » financière ?" Revue française d'économie Vol XXXVIII, no. 4 (May 2, 2024): 113–48. http://dx.doi.org/10.3917/rfe.238.0113.

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La tokenisation financière invite à réfléchir à de nouveaux supports monétaires. Elle consiste en l’enregistrement et le transfert de droits et de valeurs au sein d’un dispositif numérique, distribué et décentralisé. Elle promet des gains d’efficience dans les échanges financiers et d’être un terreau fertile pour l’innovation financière. Cependant, pour donner tous ses fruits, cette innovation nécessite des supports monétaires compatibles : une « monnaie tokenisée ». Trois candidats sont souvent mentionnés : les stablecoins, les dépôts bancaires tokenisés et la monnaie numérique de banque centrale (MNBC) interbancaire. Cet article évalue ces candidats à l’aune de trois critères : le degré de fragmentation monétaire, le financement de l’économie et l’éthique de la monnaie. À la lumière de ces trois critères, cet article plaide pour une approche duale, fondée sur la coexistence d’au moins deux formes de support monétaire : des supports monétaires privés – par exemple les dépôts tokenisés – et un support monétaire public – la MNBC interbancaire.
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Dissertations / Theses on the topic "Tokenisation"

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Puttkammer, Martin Johannes. "Outomatiese Afrikaanse tekseenheididentifisering / deur Martin J. Puttkammer." Thesis, North-West University, 2006. http://hdl.handle.net/10394/872.

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An important core technology in the development of human language technology applications is an automatic morphological analyser. Such a morphological analyser consists of various modules, one of which is a tokeniser. At present no tokeniser exists for Afrikaans and it has therefore been impossible to develop a morphological analyser for Afrikaans. Thus, in this research project such a tokeniser is being developed, and the project therefore has two objectives: i)to postulate a tag set for integrated tokenisation, and ii) to develop an algorithm for integrated tokenisation. In order to achieve the first object, a tag set for the tagging of sentences, named-entities, words, abbreviations and punctuation is proposed specifically for the annotation of Afrikaans texts. It consists of 51 tags, which can be expanded in future in order to establish a larger, more specific tag set. The postulated tag set can also be simplified according to the level of specificity required by the user. It is subsequently shown that an effective tokeniser cannot be developed using only linguistic, or only statistical methods. This is due to the complexity of the task: rule-based modules should be used for certain processes (for example sentence recognition), while other processes (for example named-entity recognition) can only be executed successfully by means of a machine-learning module. It is argued that a hybrid system (a system where rule-based and statistical components are integrated) would achieve the best results on Afrikaans tokenisation. Various rule-based and statistical techniques, including a TiMBL-based classifier, are then employed to develop such a hybrid tokeniser for Afrikaans. The final tokeniser achieves an ∫-score of 97.25% when the complete set of tags is used. For sentence recognition an ∫-score of 100% is achieved. The tokeniser also recognises 81.39% of named entities. When a simplified tag set (consisting of only 12 tags) is used to annotate named entities, the ∫-score rises to 94.74%. The conclusion of the study is that a hybrid approach is indeed suitable for Afrikaans sentencisation, named-entity recognition and tokenisation. The tokeniser will improve if it is trained with more data, while the expansion of gazetteers as well as the tag set will also lead to a more accurate system<br>Thesis (M.A. (Applied Language and Literary Studies))--North-West University, Potchefstroom Campus, 2006.
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Asian, Jelita, and jelitayang@gmail com. "Effective Techniques for Indonesian Text Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080110.084651.

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The Web is a vast repository of data, and information on almost any subject can be found with the aid of search engines. Although the Web is international, the majority of research on finding of information has a focus on languages such as English and Chinese. In this thesis, we investigate information retrieval techniques for Indonesian. Although Indonesia is the fourth most populous country in the world, little attention has been given to search of Indonesian documents. Stemming is the process of reducing morphological variants of a word to a common stem form. Previous research has shown that stemming is language-dependent. Although several stemming algorithms have been proposed for Indonesian, there is no consensus on which gives better performance. We empirically explore these algorithms, showing that even the best algorithm still has scope for improvement. We propose novel extensions to this algorithm and develop a new Indonesian stemmer, and show that these can improve stemming correctness by up to three percentage points; our approach makes less than one error in thirty-eight words. We propose a range of techniques to enhance the performance of Indonesian information retrieval. These techniques include: stopping; sub-word tokenisation; and identification of proper nouns; and modifications to existing similarity functions. Our experiments show that many of these techniques can increase retrieval performance, with the highest increase achieved when we use grams of size five to tokenise words. We also present an effective method for identifying the language of a document; this allows various information retrieval techniques to be applied selectively depending on the language of target documents. We also address the problem of automatic creation of parallel corpora --- collections of documents that are the direct translations of each other --- which are essential for cross-lingual information retrieval tasks. Well-curated parallel corpora are rare, and for many languages, such as Indonesian, do not exist at all. We describe algorithms that we have developed to automatically identify parallel documents for Indonesian and English. Unlike most current approaches, which consider only the context and structure of the documents, our approach is based on the document content itself. Our algorithms do not make any prior assumptions about the documents, and are based on the Needleman-Wunsch algorithm for global alignment of protein sequences. Our approach works well in identifying Indonesian-English parallel documents, especially when no translation is performed. It can increase the separation value, a measure to discriminate good matches of parallel documents from bad matches, by approximately ten percentage points. We also investigate the applicability of our identification algorithms for other languages that use the Latin alphabet. Our experiments show that, with minor modifications, our alignment methods are effective for English-French, English-German, and French-German corpora, especially when the documents are not translated. Our technique can increase the separation value for the European corpus by up to twenty-eight percentage points. Together, these results provide a substantial advance in understanding techniques that can be applied for effective Indonesian text retrieval.
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Book chapters on the topic "Tokenisation"

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Butler, Simon, Michel Wermelinger, Yijun Yu, and Helen Sharp. "Improving the Tokenisation of Identifier Names." In Lecture Notes in Computer Science, 130–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22655-7_7.

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Umar, Assad, Iakovos Gurulian, Keith Mayes, and Konstantinos Markantonakis. "Tokenisation Blacklisting Using Linkable Group Signatures." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 182–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59608-2_10.

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Lecomte, Patrick. "The tokenisation of commercial real estate." In New Frontiers in Real Estate Finance, 134–55. 1 Edition. | New York : Routledge, 2021. |: Routledge, 2021. http://dx.doi.org/10.1201/9780429344145-3.

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Escobar, Fernando, Henrique Santos, and Teresa Pereira. "Education Credentials’ Tokenisation – A Use Case." In Lecture Notes in Networks and Systems, 79–89. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81928-5_8.

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Boella, Guido, Claudio Schifanella, and Cristina Viano. "Blockchain and Tokenisation for Local Communities." In Blockchain for Good, 96–116. Boca Raton: CRC Press, 2025. https://doi.org/10.1201/9781003456346-6.

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Cummins, Mark, Theo Lynn, and Pierangelo Rosati. "Financing Building Renovation: Financial Technology as an Alternative Channel to Mobilise Private Financing." In Disrupting Buildings, 153–72. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32309-6_10.

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AbstractAccess to capital is one of the key barriers for deep renovation. This chapter presents the potential advantages and benefits that financial technology (FinTech) solutions such as crowdfunding and blockchain-based solutions such as tokenisation and smart contracts can provide to building owners and construction companies in terms of financing. Future avenues for research in this space are also presented.
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Jayasinghe, Danushka, Konstantinos Markantonakis, Raja Naeem Akram, and Keith Mayes. "Enhancing EMV Tokenisation with Dynamic Transaction Tokens." In Radio Frequency Identification and IoT Security, 107–22. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62024-4_8.

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Lugo-Ocando, Jairo, and An Nguyen. "The “tokenisation” of development in the news." In Developing News, 14–29. London ; New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315269245-2.

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Verstappen, Jasper, and Tim van Zuijlen. "Using Tokenisation in Support of a ‘Superficies Sustainable’." In Routledge Handbook of Private Law and Sustainability, 294–310. London: Routledge, 2024. http://dx.doi.org/10.4324/9781032662046-22.

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Escobar, Fernando, Henrique Santos, and Teresa Pereira. "Tokenisation Outcomes Framework for the Public Sector – Is Blockchain Optimal for My Process?" In Lecture Notes in Networks and Systems, 204–15. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81928-5_20.

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Conference papers on the topic "Tokenisation"

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Abela, Kurt, Kurt Micallef, Marc Tanti, and Claudia Borg. "Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese." In Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024), 109–20. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.loresmt-1.11.

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Escobar, Fernando, Henrique Santos, and Teresa Pereira. "The Emergence of a Process Tokenisation Model for the Public Sector: A Position Paper." In 23ª Conferência da Associação Portuguesa de Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, APSI, 2023. http://dx.doi.org/10.18803/capsi.v23.70-84.

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Tokenisation denotes one of the most successful implementations of blockchain that concretes its benefits into practice, also in the public sector, where it can help to reverse the declining citizen trust in governments. Process Tokenisation is the possibility of adopting blockchain as infrastructure for a business process, measured by its level of “Tokenisability”. Going towards a Process Tokenisation Model for the Public Sector, this position paper presents the context in which process tokenisation is necessary for the public sector and draws on Process Virtualisation Theory to propose constructs to help a public organisation identify the most suitable business process for tokenisation. Also, a European Blockchain Service Infrastructure use case description evaluates the model. As a result, the Process Tokenisation Model for the Public Sector demonstrated valuable, foreseeing sustainable potential benefits.
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Pretorius, Rigardt, Ansu Berg, Laurette Pretorius, and Biffie Viljoen. "Setswana tokenisation and computational verb morphology." In the First Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1564508.1564522.

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Serrano, Will. "Real Estate Tokenisation via Non Fungible Tokens." In ICBCT'22: The 2022 4th International Conference on Blockchain Technology. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3532640.3532651.

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Gow-Smith, Edward, Harish Tayyar Madabushi, Carolina Scarton, and Aline Villavicencio. "Improving Tokenisation by Alternative Treatment of Spaces." In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emnlp-main.786.

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Haggett, Shawn, Greg Knowles, and Graham Bignell. "Tokenisation of Class Files for an Embedded Java Processor." In 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). IEEE, 2007. http://dx.doi.org/10.1109/icis.2007.181.

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Liddell, Frances, Ella Tallyn, Evan Morgan, Kar Balan, Martin Disley, Theodore Koterwas, Billy Dixon, Caterina Moruzzi, John Collomosse, and Chris Elsden. "ORAgen: Exploring the Design of Attribution through Media Tokenisation." In DIS '24: Designing Interactive Systems Conference. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3656156.3663693.

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"Information Extraction from Web Services - A Comparison of Tokenisation Algorithms." In International Workshop on Software Knowledge. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003698000120023.

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Grover, Claire, Michael Matthews, and Richard Tobin. "Tools to address the interdependence between tokenisation and standoff annotation." In the 5th Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1621034.1621038.

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Amirza, Mohammad Aaris, Mohamed Razeef Abdul Razak, Muhamad Fairus Kamaruzaman, and Rusmadiah Anwar. "Non-Fungible Token (NFT) in Malaysian Creative Arts: The Status Quo of Tokenisation." In 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, 2023. http://dx.doi.org/10.1109/iscaie57739.2023.10165499.

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Reports on the topic "Tokenisation"

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Tokenisation of assets and distributed ledger technologies in financial markets. Organisation for Economic Co-Operation and Development (OECD), January 2025. https://doi.org/10.1787/40e7f217-en.

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