On 6/17/13 1:35 PM, Luca Matteis wrote:
It's number 3 because it's RDF (Turtle) and it's using URIs to describe things. And links to other data.Let's put aside the Turtle assumption debate since it (like Media Type) doesn't have any concrete bearing on this exercise.
How about the document denoted by this URI/URL: <http://kingsley.idehen.net/DAV/home/kidehen/Public/DropBox/Public/Linked%20Data%20Resources/linked-data-rdf-test2.ttl>
Is that an RDF document? If not, is it a Linked Data document? Or is it neither?
Kingsley
Can you make your point more clearly rather than answering my question with other questions?On Mon, Jun 17, 2013 at 7:27 PM, Kingsley Idehen <[email protected] <mailto:[email protected]>> wrote: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> <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. KingsleyOn 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). KingsleyOn 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 <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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