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Morris, V.: Automated language identification of bibliographic resources (2020)
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- Date
- 2. 3.2020 19:04:22
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Holden, C.: ¬The bibliographic work : history, theory, and practice (2021)
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Sfakakis, M.; Zapounidou, S.; Papatheodorou, C.: Mapping derivative relationships from BIBFRAME 2.0 to RDA (2020)
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Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023)
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- Date
- 22. 3.2023 12:00:14
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Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020)
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- Date
- 11. 7.2020 13:22:58
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Zhang, L.; Lu, W.; Yang, J.: LAGOS-AND : a large gold standard dataset for scholarly author name disambiguation (2023)
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- Date
- 22. 1.2023 18:40:36
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Soos, C.; Leazer, H.H.: Presentations of authorship in knowledge organization (2020)
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Menzel, S.; Schnaitter, H.; Zinck, J.; Petras, V.; Neudecker, C.; Labusch, K.; Leitner, E.; Rehm, G.: Named Entity Linking mit Wikidata und GND : das Potenzial handkuratierter und strukturierter Datenquellen für die semantische Anreicherung von Volltexten (2021)
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Oliver, C: Introducing RDA : a guide to the basics after 3R (2021)
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Zakaria, M.S.: Measuring typographical errors in online catalogs of academic libraries using Ballard's list : a case study from Egypt (2023)
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- Abstract
- Typographical errors in bibliographic records of online library catalogs are a common troublesome phenomenon, spread all over the world. They can affect the retrieval and identification of items in information retrieval systems and thus prevent users from finding the documents they need. The present study was conducted to measure typographical errors in the online catalog of the Egyptian Universities Libraries Consortium (EULC). The investigation depended on Terry Ballard's typographical error terms list. The EULC catalog was searched to identify matched erroneous records. The study found that the total number of erroneous records reached 1686, whereas the mean error rate for each record is 11.24, which is very high. About 396 erroneous records (23.49%) have been retrieved from Section C of Ballard's list (Moderate Probability). The typographical errors found within the abstracts of the study's sample records represented 35.82%. Omissions were the first common type of errors with 54.51%, followed by transpositions at 17.08%. Regarding the analysis of parts of speech, the study found that 63.46% of errors occur in noun terms. The results of the study indicated that typographical errors still pose a serious challenge for information retrieval systems, especially for library systems in the Arab environment. The study proposes some solutions for Egyptian university libraries in order to avoid typographic mistakes in the future.
