Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29340
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dc.contributor.authorGholizadeh, J-
dc.contributor.authorChun, K-S-
dc.contributor.authorCurd, C-
dc.contributor.authorMasters, N-
dc.contributor.authorGibson, D-
dc.contributor.authorLi, Y-
dc.date.accessioned2024-07-12T16:22:00Z-
dc.date.available2024-07-12T16:22:00Z-
dc.date.issued2024-04-25-
dc.identifierORCiD: Javad Gholizadeh https://orcid.org/0009-0009-0561-7089-
dc.identifierORCiD: Kwang-Sung Chun https://orcid.org/0009-0000-7560-0025-
dc.identifierORCiD: Clive Curd https://orcid.org/0009-0009-7507-3582-
dc.identifierORCiD: David Gibson https://orcid.org/0009-0002-7953-5368-
dc.identifierORCiD: Yongmin Li https://orcid.org/0000-0003-1668-2440-
dc.identifier.citationGholizadeh, J. et al. (2024) 'Automated Assessment of Capital Allowances', IEEE Access, 12, pp. 60206 - 60221. doi: 10.1109/ACCESS.2024.3393830.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29340-
dc.description.abstractCapital allowances play a crucial role in enabling businesses to claim tax relief on specific capital expenditures, reducing their taxable profits and overall tax burden. However, the current manual process for managing capital allowance claims is time-consuming and complex, particularly for small and medium enterprises (SMEs) that often lack access to expert consultation. Furthermore, the distinct nature of construction expenditure on buildings adds to the complexity, with unique costs and data for each property and project. These challenges underscore the necessity for the development of automated technologies and systems for capital allowance assessment. To address these challenges, we present the development of an automated capital allowance assessment system comprising three key components: a capital allowance expert system, a tax coding system, and an integrated web-based application. The capital allowance expert system covers the entire process of capital allowance assessment, leveraging rules and procedures extracted from standardised processes and expertise. The tax coding system automatically classifies textual costing items into corresponding tax codes, addressing the complexity of capital allowance rules and frequent legislative changes. The integrated web-based application offers an interactive experience for data gathering, analysis, coding, and report generation, providing a comprehensive solution for efficient and accurate capital allowance assessment. This automated system addresses the complexities and inefficiencies associated with manual capital allowance assessment. It potentially benefits tax authorities in standardising and streamlining allowance assessment processes while fostering economic growth through accessible services for SMEs and promoting environmental sustainability by encouraging energy-efficient practices.en_US
dc.description.sponsorship10.13039/501100006041-Innovate U.K. Knowledge Transfer Partnership Program.en_US
dc.format.extent60206 - 60221-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rights© Copyright 2024 The Authors. Published under license by Institute of Electrical and Electronics Engineers (IEEE). This work is licensed under a Creative Commons Attribution 4.0 License.. For more information, see https://creativecommons.org/licenses/by/4.0/-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectcapital allowanceen_US
dc.subjecttax reliefen_US
dc.subjectartificial intelligenceen_US
dc.subjectexpert systemsen_US
dc.subjectnatural language processingen_US
dc.subjectautomationen_US
dc.titleAutomated Assessment of Capital Allowancesen_US
dc.typeArticleen_US
dc.date.dateAccepted2024-04-22-
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2024.3393830-
dc.relation.isPartOfIEEE Access-
pubs.publication-statusPublished-
pubs.volume12-
dc.identifier.eissn2169-3536-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Computer Science Research Papers

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