I've just read the extensive post by Nova
Spivack titled:
The Semantic Web, Collective Intelligence and Hyperdata,
courtesy of a post by Danny
Ayres titled: Confused
about the Semantic Web , in response to a post by Tim O'Reilly titled: Economist
Confused About the Semantic Web? .
My Comments:
Hyperdata is short for HyperLinked Data :-) The same applies to
Linked Data.
Thus, we have two literal labels for the same core Concept.
HTTP is the
enabling protocol for "Hyper-linking" Documents and associated
Structured Data via the World Wide Web (Web for short). Data Links
associated with Structured Data contained in, or hosted by,
Documents on the Web.
RDFa, eRDF,
GRDDL, SPARQL Query Language,
SPARQL Protocol (SOAP or REST
service), SPARQL Results Serializations (XML or JSON) collectively provide a
myriad of unobtrusive routes to structured data embedded within, or
associated with, existing Web Documents.
As Danny already states, ontologies are not prerequisites for
producing structured data using the RDF
Data Model. They simply aid the ability to express one's self
clearly (i.e. no repetition or ambiguity) across a broad audience
of machines (directly) and their human masters (indirectly).
Using the crux of this post as the anecdote: The Semantic Data Web
would simplify the process of claiming and/or proving that Linked
Data and Hyperdata describe the same concept. It achieves this by
using Triples (Subject, Predicate, Object) expressed in various
forms (N3,
Turtle,
RDF/XML etc.) to formalize claims in a form palatable to electronic
agents (machines) operating on behalf of Humans. In a nutshell,
this increases human productive by completely obliterates the
erstwhile exponential costs of discovering data, information, and
knowledge.
BTW - for full effect, view this post (i.e. cut and paste the
Permalink URI of this post, below) into an RDF Browser such as: