The BBC's recently announced Linked Data space for
Programmes and Music data, joins a growing list of immediately
useful "Virtuoso Powered" linked data spaces, driving
the burgeoning Web of Linked Data. Others include: DBpedia, Bio2RDF, NeuroCommons etc (the click friendly version of the LOD-Cloud
diagram reveals a snapshot of other Virtuoso driven linked data
spaces).
Why is it important?
As a leading media organization, the BBC's use of Linked Data
provides a clear beacon to other media players re. the imminence of
a serious Linked Data induced sector inflection. In a nutshell,
every Web Site has to evolve into a Linked Data Space: a location
on the Web that provides granular access to discrete data items in
line with the core principles of the Linked Data meme.
Remember, the essence of the Linked Data meme is simply this:
you reference data items and access their metadata, in variety of
formats via a single HTTP based URI. This approach to Web data publishing is
compatible with any HTTP aware user agent (e.g., your Web Browser
or tools & applications that provide abstracted access to
HTTP).
How Do I use it?
There a number of very powerful things available to end-users
and developers alike.
End-Users:
The most powerful feature of our variant of the BBC's Linked
Data Space is the exposure of Faceted Find (think Search++ and
beyond). Thus, you can go the the home page of the
service and commence data discovery and exploration via any of
the following interfaces:
-
Full Text Search Tab -- type in a full text
pattern and then experience Linked Data Entity Ranking as opposed to Page
Ranking
- URI Lookup (By Label) Tab -- type in part of a URI and let the
system auto-complete by looking up Entity Labels
- URI Lookup (Raw String Pattern) Tab -- type in part of a URI
and let the system auto-complete by looking up the raw URI
-
OpenLink Data Explorer Service --
"deceptively simple" Linked Data explorer and Data Mesher (simply
type in a URI or Text pattern, then view the data via a myriad of
entity type specific viewer tabs).
Once you are comfortable with at least one of the items above,
you can exploit the system further by performing any of the
following:
Information Architects & Developers
Disambiguated Search (aka. Search++ or Find)
In line with the time-tested "embrace and extend" pattern, we
provide Full Text search capability, but unlike Google, Yahoo!,
Bing and other search engines, we don't use use "Page Rank"
algorithm to sort results; instead, we use an "Entity Rank"
algorithm since we are dealing with an RDF based Graph model DBMS
where links exist between entities across instance data and data
dictionary (vocabularies, schemas, ontologies) boundaries. In
addition, when you get results (by clicking "show values" or "show
values with distinct counts") that list entities associated with a
full text search pattern, we take a quantum leap beyond search
engines by allowing you to use "Entity Type" and/or "Entity
Properties" (all of these have HTTP URIs too) to set your own
context for what you seek.
Much more to come in the form of BBC specific demo queries and tutorials
:-)
Related
- Live LOD Cloud Cache instance that combines BBC
data with other data sets from the LOD Cloud (in a single Virtuoso
RDF DBMS hosting 5 Billion+ triples & counting)