DISQUS

Wow! XBRL is such a controversial thing it seems re. RDF. Please note the following:
1. http://groups.google.com/group/xbrl-ontology-sp... - XBRL Ontology
2. http://linkeddata.uriburner.com/about/html/http...


I am actually looking for collaborators to do some work with me re. finessing the current alpha work we've done.

Kingsley

UMBEL ontology does offer some alleviation to the "owl:sameAs" issue that you raise.

See: http://umbel.org


Kingsley

Please read my post about SDQ (Serendipitous Discovery Quotient). Basically, search has long been broken, it is autistic to the consequences of human cognition (we don't do singularity, everything has many facets).

Links:

1. http://bit.ly/3jZTWP - Post about SDQ with a BCG matrix
2. http://www.openlinksw.com/weblog/public/search.... - collection of post related to SDQ

Kingsley

How about the burgeoning cloud of RDF based Linked Data?

Links:
1. http://virtuoso.openlinksw.com/images/dbpedia-l...
2. http://esw.w3.org/topic/SweoIG/TaskForces/Commu...
3. http://dbpedia.org/resource/Linked_Data - cross linked with Freebase and many other structured data spaces

Yes, and part of the reason for this has been lack of "Analyst Friendly" infrastructure on the Web. Remember, the initial Web (Web 1.0) gave us "Authors", the first stage of evolution (Web 2.0) gave us the "Citizen Journalis" and "Commenttor", and now the second stage of evolution (Web 3.0 or Linked Data Web) will usher in the "Analyst" .

Without strucutured and interlnked data as part of the mix, the analysts cannot thrive.

The Linking Open Data (LOD) community [1] has been on the vanguard of this effort towards a Web that facilitates "Analysis for All" :-)

Links:
1. http://esw.w3.org/topic/SweoIG/TaskForces/Commu...
2. http://dbpedia.org/About

Typo fixed version of my response:

Talking about the innards of the Semantic Web are boring (naturally). Looking at this whole thing through the lenses of Linked Data on the Web should provide a clearer insight into the virtues of being able to distill data from the information contained in Web Documents.

For instance do you find the degree of serendipity in the following links boring?

1. http://dbpedia.org/resource/Linked_Data
2. http://dbpedia.org/resource/Semantic_Web
3. http://dbpedia.org/resource/Web_2.0

The real historic problem with this whole thing has been the lack of practical and comprehensible use cases. These shortcomings are vaporizing by the second :-)

You can also look at my Personal Profile Page (*go to the Linked Data Viewer tab*) to see practical usage of Linked Data to expose all of the data I've chosen to share with the public via my Linked Data Space:

http://myopenlink.net/dataspace/person/kidehen

Talking about the innards of the Semantic Web are boring (naturally). Looking at this whole thing through the lenses of Linked Data on the Web should provide a clearer insight into the virtues of being able to distill data from the information contained into Web Documents.

For instance do you find the degree of serendipity in the following links boring?

1. http://dbpedia.org/resource/Linked_Data
2. http://dbpedia.org/resource/Semantic_Web
3. http://dbpedia.org/resource/Web_2.0

The real historic problem with this whole thing has be the lack of practical and comprehensible use cases. These shortcomings are vaporizing by the second :-)

BTW - It would be nice if I could login using my OpenID when posting comments :-)

Robert,

I second the comments from Danny and would like to add the following:

1. Data is Data, and it the foundation of everyting on the Web (as it is everything in our daily existence)
2. Data has always wanted to be free
3. The Semantic Data Web is about Open Access to Data on the Web
4. There are no secrets in the Web Realm (any variant from 1.0 - X.X.X)
5. Decomposing Web Pages into granular items of referencable data is what the Semantic Web has always been about
6. Hyperlinks no longer point solely to (X)HTML documents, they can also point to granular bits of Data exposed by Data Sources (that include traditional Web Pages)
7. When a hyperlink points to a Document as blurb it is a URL. When it points to a Document or any other Data Source with granular Data Access in mind it is a URI
8. Everything you, I, or anyone else has posted on the Web will ultimately be accessible via single URI (because URIs can point to other URIs; meaning Data can point to other pieced of Data)
9. Computers have worked this way since the beginning of time; we are simply extending the concept of the Computer. To quote Sun: The Network is the Computer. The Web is a Network that connnect People to Data and Data to People
10. The Web is a subsystem of the Network Operating system called the Internet :-)

What about using SIOC and FOAF data for your SPARQL Examples? This will make a world of difference to the general comprehension of tutorial subject matter.

http://pingthesemanicweb.com is great place to locate sample data. Ditto: http://esw.w3.org/topic/SIOC/EnabledSites .

The Oedipus example is one of those samples that obscurs the Semantic Web comprehension process for neophytes. Its too much of a quantum leap (IMHO).

BTW - Great Tutorial!

OpenLink Software will be releasing a RoR Data Adapter for Ingres.

We are also completing a proper RoR Adaptor for ODBC/JDBC that will work with ODBC and JDBC accessible databases.

You can pop me a mail if you are interested in a pre-release.