A preliminary study on similarity-preserving digital book identifiers

Klemo Vladimir, Marin Silic, Nenad Romic, Goran Delac, Sinisa Srbljic

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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)
PublisherAssociation for Computational Linguistics
Pages78-83
Number of pages6
DOIs
Publication statusPublished - Jul 2015
Event9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities - Beijing, China
Duration: 30 Jul 201530 Jul 2015
https://www.aclweb.org/portal/content/9th-sighum-workshop-language-technology-cultural-heritage-social-sciences-and-humanities

Conference

Conference9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
Abbreviated titleLaTeCH 2015
CountryChina
CityBeijing
Period30/07/1530/07/15
Internet address

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  • Cite this

    Vladimir, K., Silic, M., Romic, N., Delac, G., & Srbljic, S. (2015). A preliminary study on similarity-preserving digital book identifiers. In Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) (pp. 78-83). Association for Computational Linguistics. https://doi.org/10.18653/v1/W15-3712