  The aim of this study is to contribute to the field of machine-processable
bibliographic data that is suitable for the Semantic Web. We examine the Entity
Relationship (ER) model, which has been selected by IFLA as a "conceptual
framework" in order to model the FR family (FRBR, FRAD, and RDA), and the
problems ER causes as we move towards the Semantic Web. Subsequently, while
maintaining the semantics of the aforementioned standards but rejecting the ER
as a conceptual framework for bibliographic data, this paper builds on the RDF
(Resource Description Framework) potential and documents how both the RDF and
Linked Data's rationale can affect the way we model bibliographic data. 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description and authorities is obsolete.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
names are 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.
