There are many miracles on this map. Semantic databases, semantic search, SaaS, (SOA), and such require very high levels of Semantic Web information quality and information safety to be more that trivially useful. This just isn't going to happen any time soon.
Note that Internet document web is information unsafe. Even so, it works great. The Internet data web is different. Any workable, worthwhile Internet data web must be intrinsically information safe.
All Internet data web architectures so far start with metaphysical information modeling architectures. Today all mainstream information modeling is metaphysical. Entity-relationship and object-oriented are the predominant forms. RDF and all alternatives are just alternative flavors of metaphysical pattern modeling.
Metaphysical modeling is intrinsically low quality and thus intrinsically unsafe. This is readily demonstrable. So metaphysical information modeling mashup interoperability, insurability, and immortality cannot be modeled or managed. This is a killer. It eliminates nearly all customer value potential in data web model mashups.
Today's best institutional data processing operations are a sanity check. Today these are severely limited in scope and scale by workable information safety and quality limits. Model mashups within and among software packages requires ruinously expensive recurrent reverse engineering. Most high value mashups are impractical or infeasible. Those mashups that are done often suffer from reliability problems.
Any workable data web build-out will, in effect, be a huge worldwide data center. This will be millions of times larger than the largest data center operations today. This will involve myriad thousands of independent modeling contexts and myriad millions of models. This simply isn't going to fly with any metaphysical information modeling approach.
Today alternative mechanistic subject modeling methods are limited to the applied science automation software world. These scale without limit and provide fully manageable information safety and quality. Any workable Internet data web must and will ultimately these alterative methods.
Today these mature methods are unknown in the mainstream software world. There is no commodity infrastructure support for this sort of modeling. Moreover, this sort of modeling is incompatible with the huge legacy of SQL RDB data maintained today.
So for the foreseeable future the Internet data web will be limited to a relatively small range of tactical applications that can tolerate information unsafely. These will provide some trivial value. The mother lode of Internet data web innovation value, amounting to at least a trillion dollars in financial market capitalization, will remain far out of reach.

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Roadmap for the Web 3.0
Matthew Magain blogged the roadmap for the Web 3.0:
this is a follow-up to my thoughts about the semantic web 2.0
Kudos to Michael Sintek for pointing me to this roadmap.
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Too often those in government are tempted to seek out those data that support their policies. But when this is done as justification for enacting legislation, the results are bound to be similar to the results of an experiment based on a bad theory.


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The results of scientific inquiry are themselves neither good, nor bad, though science does have an ethos. That ethos involves honesty, integrity, and full disclosure. As the Nobel prizewinning physicist Richard Feynman said,

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