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rs3gold5 | 06 October, 2019 05:49

I'd pay for content if it was unique and interesting, and bluntly, News Ltd is rs gold neither. The only media paysite I subscribe to is a specialist Australian motorsport e mag called Motorsport eNews. They went pay a year or so ago and I suspect lost a reasonable slab of their audience one or two of BI/Geek's Regular Contributors among their number but after 6 months or so I ponied up the cash as a self bought birthday gift. Just renewed for another 6. Being specialist, and working to e publication timelines, they can crack bigger stories faster (eg they were first to report Triple 8 moving to Holden, A1GP for Gold Coast Indy etc) and have content noone else has. And it costs less than any of my old school magazine subs. Of course it's harder to read on the Brasco, but such is the cost of progress.

 

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All have a dream of perfection, of the perfect mate who will understand their every need before they say it and match their inner image of woman/man at their best. Others might suggest that clinging to this image of perfection is a defense, preventing a real life person from being able to win the seeker's heart.

The evidenced fact that "Linking is as powerful as computing" in a dynamic web context has lead to evaluating Turing completeness for hypertext systems based on their linking model. The same evaluation can be applied to the Semantic Web domain too. RDF is the default data model of the Semantic Web links, so the evaluation comes back to whether or not RDF can support the required computational power at the linking level. RDF represents semantic relationships with explicitly naming the participating triples, however the enumeration is only one method amongst many for representing relations, and not always the most efficient or viable. In this paper we firstly consider that Turing completeness of binary linked hypertext is realized if and only if the links are dynamic (functional). Ashman's Binary Relation Model (BRM) showed that binary relations can most usefully be represented with Mili's pE (predicate expression) representation, and Moreau and Hall concluded that hypertext systems which use the pE representation as the basis for their linking (relation) activities are Turing complete. Secondly we consider that RDF as it is is a static version of a general ternary relations model, called TRM. We then conclude that the current computing power of the Semantic Web depends on the dynamicity supported by its underlying TRM. The value of this is firstly that RDF's triples can be considered within a framework and compared to alternatives, such as the TRM version of pE, designated pfE (predicate function expression). Secondly, that a system whose relations are represented with pfE is likewise going to be Turing complete. Thus moving from RDF to a pfE representation of relations would give far greater power and flexibility within the Semantic Web applications.

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