2020 LD4 Conference on Linked Data in Libraries

Session recording

I will present the experience of American University of Beirut Library (AUB Library) in the preparation to be part of the Linked Open Data datasets by identifying entities using URIs linking and mapping elements of MARCXML to DC and Bibframe. American University of Beirut Library (AUB Library) is a member of PCC URIs in MARC Pilot Project that encourages libraries to include URIs in authorities and URIs of RDA registry in relationships. This will help at a later stage in the conversion from MARC to Bibframe, this enables the bibliographic records and metadata in Dublin Core to be part of Open Linked Data datasets and enables the search-ability and visibility of the bibliographic records of Library Catalog. AUB Library uses Sierra Library System. It facilitates the use of RDA and the WEMI entities of LRM (Library Reference Model) which replaced FRBR. RDA/LRM registry linking is helping in setting relationships between Works, Expressions, Manifestations and Items. LRM models and its relationships between entities helps in enhancing the identification of the entities that will be part of Linked Open Data datasets. Sierra Library System is working on integrating Zepheira application. It converts the bibliographic records into Bibframe and helps in the visibility of the library catalog records on the Web, it was expected to be launched at the end of 2019, but we are not sure it helps in enabling the Library catalog to be part of Linked Open Data datasets. The Library is also converting all its library digital materials into Dublin Core elements using Qualified Dublin Core Schema in order to include them in digital repository (DSpace) for institutional publications and Content Management System (XTF) for digital and digitized materials for cultural heritage. AUB Library is preserving its born digital and digitized materials for long-term preservation using ARCHIVEMETICA tool and PREMIS Metadata Schema. In addition, AUB Library is enabling the Metadata harvesting of its digital collections using OAI-MH Protocol.