The National Library of Greece (NLG) transliterates Greek authors’ and corporate bodies’ names to Latin characters, and integrates the transliterated text into authority records. Submitting data to the Virtual Authority File (VIAF) revealed that transliterations help cluster the Greek version of names under the proper cluster. To further enhance shareability and matching potential of the NLG data, it was decided to enrich name authority records with transliterations under two standards: ALA-LC Romanization tables, and ELOT743 (equivalent to ISO843). The NLG collaborated with the International Hellenic University, Department of Information and Electronic Engineering, and the Open Knowledge Foundation Greece to build a transliterator tool. This paper presents the development of the tool, along with the challenges in applying the rules that each standard determines. The tool was evaluated against a Gold Dataset created by the NLG staff.

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Building a Transliteration Tool to Enhance the Exchange of Metadata About Greek Authors

  • Charalampos Bratsas,
  • Lazaros Ioannidis,
  • Ilias Tsitsilegkas,
  • Michalis Gerolimos,
  • Eftychia Koufakou,
  • Sofia Zapounidou

摘要

The National Library of Greece (NLG) transliterates Greek authors’ and corporate bodies’ names to Latin characters, and integrates the transliterated text into authority records. Submitting data to the Virtual Authority File (VIAF) revealed that transliterations help cluster the Greek version of names under the proper cluster. To further enhance shareability and matching potential of the NLG data, it was decided to enrich name authority records with transliterations under two standards: ALA-LC Romanization tables, and ELOT743 (equivalent to ISO843). The NLG collaborated with the International Hellenic University, Department of Information and Electronic Engineering, and the Open Knowledge Foundation Greece to build a transliterator tool. This paper presents the development of the tool, along with the challenges in applying the rules that each standard determines. The tool was evaluated against a Gold Dataset created by the NLG staff.