The Open Data Web is Finally Open for Business

After more than a decade of delays the Internet data web is now officially open for business, and every kind of business can now reap the benefits of publishing on the data web. The debut of the data web opens up all kinds of exceptional new Internet publishing progress and profit opportunities, so now’s a great time to think about staking a data web claim and writing your own personal StateWare Success Story.

The open data web provides lots of great new ways to share and search practical information on the Internet. Now all kinds of practical models and meaning can be conveniently published on the World Wide Web as any combination of documents or data. The great advantage of data web publishing is an automatic hundredfold improvement in publication sharing and searching value, and far greater advantage is available with a little extra effort. All existing Internet services and solutions can be readily retrofitted to work, and there are lots of advantageous ways to add data web value to everything done on the Internet today.

The World Wide web is an open hyperlinked Internet publishing architecture for searching and sharing all the world's information. Today open document and open digital multimedia are huge World Wide Web publishing successes, but open data publishing has long been delayed. Nearly all the data modeling done today is closed, and closed data can't be hyperlinked.

The open data web is the third kind of hyperlinked information publishing required to finish building out the World Wide Web, it’s fully consistent with and complementary to all the Internet document and digital multimedia web publishing done today. In this way the data web builds on all the accumulated engineering and economic success of the document and digital media webs. All of the baffling old data web technical barriers have been fully and finally overcome, so now the big data web buildout can begin in earnest, and in a few decades the data web will surely extend to trillions of published data pages.

A open data web page is an Internet HTML document that includes some plain practical prose outline structures. These outlines may be part of the document structure or hidden for use only by data web search engines. Anyone with good middle school language arts skills can author data web practical prose outlines. These practical data structures are necessary and sufficient to model any and all sorts of practical meaning with no intrinsic limitations of scope, scale, or sophistication.

Open data web data modeling is entirely different from the sort of data modeling that programmers do with schemas, that’s because software data modeling always uses schemas, but data web modeling is entirely schemaless. Schemas always limit practical meaning expression to a very narrow range of highly specialized constructions, but schemaless data modeling always lets you say all that you mean and mean all that you say for any practical purpose. This total freedom of expression is necessary to make free, fully open Internet data publishing possible, practical, and profitable. This is plug-and-play hyperlinked open data publishing that allows practical data from all Internet sources to be freely mixed, mashed, and mined by everyone using web browsing, word processing, and spreadsheet software tools.

Schemaless data modeling is nothing new, this smart and simple sort of data modeling was perfected in the 1920s and 1930s, but it’s long been out of fashion in the information technology world. StateWare revives and remodels this wise and wonderfully workable old-school data modeling technology for the open data web, it’s conservative and conventional applied science technology that explains and enables everything we need to do in building out the data web. There’s never any need for obscure computer science metamodeling in data web publishing, so there's never any obscure metaphysics, metalogic, or metamathematics.

The schema data models done by programmers are formalist models, these are ideal for building data processing software applications, but they always result in data models that are closed, crippled, and cryptic, and the main reason for this is that schemas alway require the reinvention of practical information in terms of regular repetitve structures, but this reinvention always destorys the unity of meaning, so most of the power, precision, protabilty, and productivity of practical meaning is lost.

StateWare open data modeling always striclty reuses practical information, and it's about the fundamentals of good practical writing rather than formalisms. Success in open data modeling starts with sticking to the fundamentals we learn in middle schools, and everything that needs to be done can be done with these fundamentals.

We all do open information modeling all day long, so we’re all accomplished schemaless information modeling wizards. Schemaless data web modeling always reuses just the same meaning structures that we all understand and use all the time. That's why you can't learn StateWare open data modeling, you can only remember it.

Here’s a trivially simple example of a data web outline section that models a collection of people:

1.     People: People 1

1.1.   Person: June J.

1.2.   Person: Jack J.

1.3.   Person: Jill J.

1.4.   Person: Jake J.

The entire open data web is built of sections of similar sorts. Each section is a hierarchical structure of statements, and each statement has an index (e.g. 1.), a name (e.g. People), and a value (e.g. People 1). Names are always hyperlinked references to data web publishing frameworks. Values may be identifier declarations, hyperlinked references to declared identifiers, or literal values including qualities and quantities.

Open data web sections are schemaless, but never structureless. The structure of data web sections is the native, natural, nomological structure of practical meaning found in all practical prose models. There are many quadrillions of valid constructions, so no workable system of schemas can ever hope to support the full range of practical meaning in all of our practical pursuits. Schemaless publishing frameworks are the only time-tested and trustworthy way of dividing and conquering the fully complexity of all practical meaning.

Open data web sections strip away the variability of style to expose the bare subject matter substance of practical meaning constructions. These simple yet smart structures are ideal both for browsing and searching using document (non-navigational) and data (navigational) Internet search engines. Open data web structure binding automation is always free, fail-safe, and fully automatic, so the accuracy of mixing, mashing, and mining data from multiple sources is always correct, complete and consistent.