Daniel Lewis has published another post about OpenLink Data Spaces (ODS) functionality titled:A few new features in OpenLink Data Spaces, that exposes additional features (some hot out the oven).

OpenLink Data Spaces (ODS) now officially supports:

Which means that OpenLink Data Spaces support all of the main standards being discussed in the DataPortability Interest Group!

APML Example:

All users of ODS automatically get a dynamically created APML file, for example: APML profile for Kingsley Idehen

The URI for an APML profile is: http://myopenlink.net/dataspace/<ods-username>/apml.xml

Meaning of a Tag Example:

All users of ODS automatically have tag cloud information embedded inside their SIOC file, for example: SIOC for Kingsley Idehen on the Myopenlink.net installation of ODS.

But even better, MOAT has been implemented in the ODS Tagging System. This has been demonstrated in a recent test blog post by my colleague Mitko Iliev, the blog post comes up on the tag search: http://myopenlink.net/dataspace/imitko/weblog/Mitko%27s%20Weblog/tag/paris

Which can be put through the OpenLink Data Browser:

OAuth Example:

OAuth Tokens and Secrets can be created for any ODS application. To do this:

  1. you can log in to MyOpenlink.net beta service, the Live Demo ODS installation, an EC2 instance, or your local installation
  2. then go to ‘Settings’
  3. and then you will see ‘OAuth Keys’
  4. you will then be able to choose the applications that you have instantiated and generate the token and secret for that app.

Related Document (Human) Links

Remember (as per my most recent post about ODS), ODS is about unobtrusive fusion of Web 1.0, 2.0, and 3.0+ usage and interaction patterns. Thanks to a lot of recent standardization in the Semantic Web realm (e.g SPARQL), we are now employ the MOAT, SKOS, and SCOT ontologies as vehicles for Structured Tagging.

Structured Tagging?

This is how we take a key Web 2.0 feature (think 2D in a sense), bend it over, to create a Linked Data Web (Web 3.0) experience unobtrusively (see earlier posts re. Dimensions of Web). Thus, nobody has to change how they tag or where they tag, just expose ODS to the URLs of your Web 2.0 tagged content and it will produce URIs (Structured Data Object Identifiers) and a lnked data graph for your Tags Data Space (nee. Tag Cloud). ODS will construct a graph which exposes tag subject association, tag concept alignment / intended meaning, and tag frequencies, that ultimately deliver "relative disambiguation" of intended Tag Meaning (i.e. you can easily discern the taggers meaning via the Tags actual Data Space which is associated with the tagger). In a nutshell, the dynamics of relevance matching, ranking, and the like, change immensely without futile timeless debates about matters such as:

What's the Linked Data value proposition?
What's the Linked Data business model?
What's the Semantic Web Killer application?

We can just get on with demonstrating Linked Data value using what exists on the Web today. This is the approach we are deliberately taking with ODS.

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Tip: This post is best viewed via an RDF aware User Agent (e.g. a Browser or Data Viewer). I say this because the permalink of this post is a URI in a Linked Data Space (My Blog) comprised of more data than meets the eye (i.e. what you see when you read this post via a Document Web Browser) :-)