A preliminary study on similarity-preserving digital book identifiers

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review


  • Klemo Vladimir
  • Marin Silic
  • Nenad Romic
  • Goran Delac
  • Sinisa Srbljic
Due to proliferation of digital publishing, e-book catalogs are abundant but noisy and unstructured. Tools for the digital librarian rely on ISBN, metadata embedded into digital files (without accepted standard) and cryptographic hash functions for the identification of coderivative or nearduplicate content. However, unreliability of metadata and sensitivity of hashing to
even smallest changes prevents efficient detection of coderivative or similar digital books. Focus of the study are books with many versions that differ in certain amount of OCR errors and have a number of sentence-length variations. Identification of similar books is performed using small-sized fingerprints that can be easily shared and compared. We created synthetic datasets to evaluate fingerprinting accuracy while providing standard precision and recall measurements.
Original languageEnglish
Title of host publicationProceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities : LaTeCH 2015
EditorsKalliopi A. Zervanou, Marieke van Erp, Beatrice Alex
Number of pages6
Place of PublicationBeijing
PublisherAssociation for Computational Linguistics (ACL)
Publication date2015
ISBN (Electronic)978-1-941643-63-1
Publication statusPublished - 2015
Event9th Socio-Economic Sciences and Humanities Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities - SIGHUM 2015 - Peking, China
Duration: 26.07.201530.07.2015
Conference number: 9

Bibliographical note

Funding Information:
This work was supported in part by the Croatian science foundation through the Recommender System for Service-oriented Architecture research project and in part by Leuphana Universität Lüneburg, DCRL Digital Cultures Research Lab. The authors would like to thank Robert M. Ochshorn and Goran Glavasˇ for their invaluable comments and suggestions and Project Gutenberg for their book collection.

Publisher Copyright:
© 2015 Proceedings of the Annual Meeting of the Association for Computational Linguistics.