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Chapter

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Title

Improving the Discovery of Musical Heritage Documents in the Digital Libraries Federation Using Melodic Content Search and AI-based Optical Music Recognition

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2025

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • digital libraries
  • content aggregation
  • melodic search
  • OMR
  • music information retrieval
  • musical heritage
Abstract

EN Digital Libraries Federation (FBC), the largest Polish aggregator in the cultural heritage domain, has recently been redesigned to enable full-text and melodic-content search functionalities aimed at improving the discovery and content-based retrieval of over 45k sheet music objects aggregated in FBC. Enabling music content retrieval required implementing three key changes to the FBC operations workflow: i) adapting its Solr search engine to process MEI documents; ii) adding AI-based Optical Music Recognition framework that converts the results to the MEI format to be processed by Solr; and iii) creating a brand new user interface for entering melodic queries and search results presentation.

Date of online publication

13.03.2025

Pages (from - to)

47-1 - 47-5

DOI

10.1145/3677389.3702559

URL

https://dl.acm.org/doi/10.1145/3677389.3702559

Comments

Article Number: 47

Book

JCDL '24 : Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries

Presented on

24th ACM/IEEE Joint Conference on Digital Libraries JCDL '24, 16-20.12.2024, Hong Kong, China

Ministry points / chapter

20

Ministry points / conference (CORE)

200

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