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Vol.11, No.4, November 2022. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Advanced Record Linkage Techniques for Improving the Data Matching between Cultural Heritage Datasets from Different Sources
Jordan Stoikov, Alexandra Nikolova, Vladimir Georgiev
© 2022 Jordan Stoikov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1906-1914, ISSN 2217-8309, DOI: 10.18421/TEM114-59, November 2022.
Received: 01 September 2022. Revised: 12 October 2022.
Abstract:
The paper's goal is to investigate a matching algorithm that can be used to connect records of cultural heritage data from various data sources and enhances the precision and effectiveness of the matching operations involved in this process. The foundation of this work is a fuzzy match similarity (FMS) function, which explicitly associates weights with tokens to measure their relative relevance while reading a string as a series of tokens.
Keywords – – record linkage, probabilistic linkage, similarity function. |
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