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referansna

Referansna is a hypothetical framework used in discussions of bibliographic metadata and linked data. It is not an official standard, but it is described as a concept for representing, linking, and preserving references across digital documents in a consistent and machine-readable way.

Etymology and scope

The name Referansna blends the root for reference with a nominal suffix, signaling its role as a

Description

Referansna envisions a minimal yet extensible data model for bibliographic items, their relationships (such as cites

Features

Key features include persistent identifiers, cross-document linking, provenance and versioning, and modular extensions for abstracts, keywords,

Applications and reception

Potential applications include digital libraries, academic publishing platforms, and scholarly knowledge graphs. Advantages cited in theoretical

See also

Bibliographic metadata, crossref, DOIs, linked data, citation graph.

References

No formal implementation or standardization exists for Referansna; the article describes it as a conceptual tool.

referential
data
model.
The
term
is
used
primarily
in
theoretical
or
experimental
contexts
to
illustrate
how
bibliographic
items
could
be
modeled
and
interconnected
beyond
traditional
formats.
and
is-cited-by),
and
provenance
information.
Each
reference
would
receive
a
persistent
identifier
and
can
include
metadata
such
as
title,
authors,
year,
venue,
language,
and
access
URL.
The
model
supports
versioning
to
track
updates
to
metadata
and
can
link
to
external
identifiers
like
DOIs,
ORCIDs,
or
other
authority
records.
It
is
designed
to
be
compatible
with
semantic
web
technologies,
notably
RDF
and
JSON-LD,
allowing
integration
into
knowledge
graphs
and
cross-system
queries.
licensing,
and
access
rights.
The
framework
emphasizes
interoperability
with
existing
standards
and
aims
to
facilitate
advanced
search,
reasoning,
and
citation
analytics.
discussions
are
improved
traceability
of
sources
and
smoother
interoperability
across
platforms;
criticisms
focus
on
the
lack
of
formal
specification,
governance,
and
broad
consensus
required
for
real-world
adoption.