On 6/17/13 1:09 PM, Luca Matteis wrote:
What makes it RDF is that you can take the contents of this URL and stick it in any popular RDF parser and it will parse it for you.

It's still bad quality Linked Data because it's missing mime-types. Anyway back to my initial question "How do you produce Linked Data without RDF?"

To cleanup this experiment, here's a URI/URL that denotes a version of the file (note: there where some errors in the initial document e.g. "." where I meant to have ";") on my server:

<http://kingsley.idehen.net/DAV/home/kidehen/Public/DropBox/Public/Linked%20Data%20Resources/linked-data-rdf-test.ttl> .

You can also just copy and past the content to your document to yours.

Back to the question and exercise, what's the defining characteristic that makes either of our documents (denoted by their respective URI/URLs) RDF documents, specifically? Here are some document type options to select from:

1. Structured Data
2. Structured Data adhering to Linked Data principles
3. RDF based Structured Data adhering to Linked Data principles.


Note, I am not expecting Media Types to play any role in this experiment.

Kingsley


On Mon, Jun 17, 2013 at 6:59 PM, Kingsley Idehen <[email protected] <mailto:[email protected]>> wrote:

    On 6/17/13 12:51 PM, Luca Matteis wrote:
    Done: http://codepad.org/7REcSynR/raw.txt

    That's still RDF so I don't get your point.

    Really? How?

    curl -I http://codepad.org/7REcSynR/raw.txt

    HTTP/1.1 200 OK
    Date: Mon, 17 Jun 2013 16:57:10 GMT
    Server: Apache
    Pragma: no-cache
    Cache-Control: no-cache
    Content-Disposition: attachment
    Content-Length: 427
    Content-Type: text/plain; charset=utf-8


    What makes it RDF?

    Related:

    1. http://en.wikipedia.org/wiki/Entity–attribute–value_model
    <http://en.wikipedia.org/wiki/Entity%E2%80%93attribute%E2%80%93value_model>
    -- EAV
    2. http://bit.ly/YTdz3N - Peter Chen's circa. 1976 dissertation
    that covers unified views of data (note: a simple example of these
    concepts that even predate the World Wide Web).

    Kingsley



    On Mon, Jun 17, 2013 at 6:31 PM, Kingsley Idehen
    <[email protected] <mailto:[email protected]>> wrote:

        On 6/17/13 11:02 AM, Luca Matteis wrote:

        On Mon, Jun 17, 2013 at 3:57 PM, Kingsley Idehen
        <[email protected] <mailto:[email protected]>> wrote:

            Linked Data is also something you can produce, without
            any knowledge of RDF.


        What do you mean "without any knowledge of RDF"? How do you
        produce Linked Data without RDF? Please give us an example
        before making statements on behalf of the community.
        If you recall (earlier today) I presented you with a simple
        exercise which would answer the question you've posed above,
        demonstrably.

        Here's that I posted:


        Webby Structured Data:

        Simply copy and paste the following to a Web accessible
        location (URL) and then share the URL via a response to this
        mail. If you can't then simply let me know and I'll do that
        for you.

        ## Structured Data Representation using Turtle Notation ##

        <>
        a <#Document> .
        <#mentions> "Linked Data" , "Linked Data", "Semantic Web",
        "Inference Reasoning", "Web".
        <#comment> "A mailing list post about Linked Data and RDF".
        <#seeAlso> <http://dbpedia.org/resource/Linked_data>
        <http://dbpedia.org/resource/Linked_data>,
        <http://dbpedia.org/resource/RDF>
        <http://dbpedia.org/resource/RDF>,
        <http://dbpedia.org/resource/Semantic_Web>
        <http://dbpedia.org/resource/Semantic_Web>,
        <http://dbpedia.org/resource/World_Wide_Web>
        <http://dbpedia.org/resource/World_Wide_Web>

        ## End ##

        What is the above to you?

        1. Webby Structured Data -- constructable using basic
        knowledge of Entity Relationship Models e.g. EAV
        (Entity-Attribute-Value based structured data representation)
        2. RDF based Structured Data -- i.e., structured data endowed
        with machine- and human-comprehensible entity relationship
        semantics as defined by RDF (a framework).

        Related:

        1. http://en.wikipedia.org/wiki/Entity–attribute–value_model
        <http://en.wikipedia.org/wiki/Entity%96attribute%96value_model>
        -- EAV
        2. http://bit.ly/YTdz3N - Peter Chen's circa. 1976
        dissertation that covers unified views of data (note: a
        simple example of these concepts that even predate the World
        Wide Web).

--
        Regards,

        Kingsley Idehen 
        Founder & CEO
        OpenLink Software
        Company Web:http://www.openlinksw.com
        Personal Weblog:http://www.openlinksw.com/blog/~kidehen  
<http://www.openlinksw.com/blog/%7Ekidehen>
        Twitter/Identi.ca handle: @kidehen
        Google+ Profile:https://plus.google.com/112399767740508618350/about
        LinkedIn Profile:http://www.linkedin.com/in/kidehen







--
    Regards,

    Kingsley Idehen     
    Founder & CEO
    OpenLink Software
    Company Web:http://www.openlinksw.com
    Personal Weblog:http://www.openlinksw.com/blog/~kidehen  
<http://www.openlinksw.com/blog/%7Ekidehen>
    Twitter/Identi.ca handle: @kidehen
    Google+ Profile:https://plus.google.com/112399767740508618350/about
    LinkedIn Profile:http://www.linkedin.com/in/kidehen







--

Regards,

Kingsley Idehen 
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca handle: @kidehen
Google+ Profile: https://plus.google.com/112399767740508618350/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen




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