In the Name of the Name: RDF literals, ER attributes and the potential to rethink the structures and visualizations of catalogs

Abstract

The aim of this study is to contribute to the field of machine-processable bibliographic data that is In this way, a new approach to bibliographic data emerges where the distinction between description and authorities is obsolete. Instead, the integration of the authorities with descriptive information becomes fundamental so that a network of correlations can be established between the entities and the names by which the entities are known. Naming is a vital issue for human cultures because namesare not random sequences of characters or sounds that stand just as identifiers for the entities-they also have socio-cultural meanings and interpretations. Thus, instead of describing indivisible resources, we could describe entities that appear in a variety of names on various resources. In this study, a method is proposed to connect the names with the entities they represent and, in this way, to document the provenance of these names by connecting specific resources with specific names.

From the web of bibliographic data to the web of bibliographic meaning: structuring, interlinking and validating ontologies on the semantic web

“…The IFLA Library Reference Model (IFLA-LRM) approved in August 2017, is a editorial consolidation of the FRBR family of models, intended as a single and coherent model better adapted to the Semantic Web (Peponakis, 2016;Riva et al, 2017). Despite Riva (2016) conviction that FRBR semantic issues are overcome with IFLA-LRM, it seems relevant to ask whether convergence with the Semantic Web has improved with the new model and to analyse the transformation initiatives that, meanwhile, will appear.…”

“…BIBFRAME also appears among the ontologies most compatible with the open Web because, unlike FRBR, it uses class hierarchy and does not define disjunctions between classes (Coyle, 2016). Some authors (e.g., Peponakis, 2016) point out significant differences between the FRBR model and RDA which may justify a deeper analysis of this bibliographic standard.…”

Formalizing Enrichment Mechanisms for Bibliographic Ontologies in the Semantic Web

“…In August 2017, a new model, named IFLA Library Reference Model (IFLA-LRM) was approved [12], envisaging not only the editorial consolidation of the various models of the FRBR family, but also the construction of a single and coherent model capable of structuring the bibliographic data more clearly and better adapted to the Semantic Web [13] and of combining the different analysis' standpoints of the various FRBR models by using a common model and terminology [14]. IFLA-LRM maintains the ER framework, therefore the above-mentioned criticisms in this respect still apply.…”

Study of library data models in the semantic web environment

“…Another difference related to terminology involved the use of Entity-Relationship modeling terms versus to Object Oriented one used by Semantic Web and Linked Data environments. This difference, originally observed by the W3C LLD Incubator Group Report (Baker et al, 2011) in 2011, was also affirmed later in studies conducted by Dunsire (Dunsire, 2012) and Peponakis (Peponakis, 2016). This difference is still observed in LRM (Riva, Le Boeuf, & Žumer, 2017); despite being the newest conceptual model in the bibliographic domain consolidating FRBR, FRAD, and FRSAD, Entity-Relationship modeling terms are used, namely entities, attributes, and relationships.…”

“…Reports and studies regarding existing library linked data projects have raised concerns regarding the proliferation of bibliographic models and vocabularies (Hillmann, Coyle, Phipps, & Dunsire, 2010;Jett, Cole, Page, & Downie, 2016;Lovins & Hillmann, 2017;Patrício et al, 2020), the interoperability of bibliographic models with Linked Data principles (Dunsire, 2012;H. Park & Kipp, 2019;Peponakis, 2016;Willer & Dunsire, 2013), and the interoperability between the bibliographic models themselves (Cagnazzo, 2017;Hallo et al, 2016;Nillson, 2010;H. Park & Kipp, 2019Rasmussen Pennington & Cagnazzo, 2019;Smith-Yoshimura, 2016Suominen & Hyvönen, 2017;Svensson, 2013;Tallerås, 2017Tallerås, , 2018.…”