BIB-R: a Benchmark for the Interpretation of Bibliographic Records

Autor: Joffrey Decourselle, Trond Aalberg, Fabien Duchateau, Nicolas Lumineau, Naimdjon Takhirov
Přispěvatelé: Base de Données (BD), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Department of Computer and Information Science [Trondheim] (IDI), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Westerdals - Oslo School of Arts, Communication and Technology - Faculty of Technology, Westerdals Oslo ACT
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Theory and Practice of Digital Libraries (TPDL)
Theory and Practice of Digital Libraries (TPDL), Sep 2016, Hannover, Germany. pp.163-174, ⟨10.1007/978-3-319-43997-6_13⟩
Research and Advanced Technology for Digital Libraries ISBN: 9783319439969
TPDL
Popis: International audience; In a global context which promotes the use of explicit semantics for sharing information and developing new services, the MAchine Readable Cataloguing (MARC) format that is commonly used by libraries worldwide has demonstrated its limitations. The semantic model for representing cultural items presented in the Functional Requirements for Bibliographic Records (FRBR) is expected to be a successor of MARC, and the complex transformation of MARC catalogs to FRBR catalogs (FRBRization) led to the proposition of various tools and approaches. However, these projects and the results they achieve are difficult to compare on a fair basis due to a lack of common datasets and appropriate metrics. Our contributions fill this gap by proposing the first public benchmark for the FRBRization process.
Databáze: OpenAIRE