Editorial and Encoding Frameworks in IT

Every IT professional is an expert at using digital encoding frameworks such as the Structured Query Language (SQL) frameworks widely used in relational database engineering and these are schema-structured information modeling frameworks. Every practical IT model has both an encoding structure and an editorial structure but only the encoding structures are modeled explicitly using schemas while the editorial structures are entirely implicit and the only way to expose these structures is systematic editorial analysis. Even so these schemaless structures are always there somewhere and they’re always the sole source of all the practical meaning any IT model. Schemaless information modeling differs from schema modeling in that the editorial structures are explicit rather than encoding structures so new kinds of editorial frameworks are required for schemaless modeling success.

Microsoft’s .Net and Oracle’s Java are two of the more popular software encoding foundation frameworks today and both are huge with many hundreds of thousands of reusable encoding elements. A typical program uses only a few hundred of these basic building blocks and the mix varies widely depending on the sort of programming done. Every software professional must master at least one modern software encoding framework and this is done in much the same way that a construction contractor might master the range of products available at a major home improvement warehouse store.

All practical programs use exactly the same editorial foundation framework and this is just the same one that we all use when we write practical documents. Editors have been studying this foundation framework for a century and editorial analysts must master this editorial foundation in much the same way the software professionals must master an encoding foundation. One remarkable thing about the editorial foundation is that it has only about ten percent of the complexity of some major software encoding foundations. This is around fifty thousand familiar practical meaning building blocks but we routinely use only a few thousand of these and constantly use only a few hundred while toddlers get by with a few dozen.

Schemaless structured information modeling needs no explicit encoding framework and it uses exactly the same familiar editorial framework that we all use all the time in all of our practical pursuits so there’s nothing new to learn. Open Practical English is a modular foundation framework for schemaless publishing and it’s the first full master editorial framework of international practical English. In many ways it resembles the modular encoding element foundations used in software engineering. 

Editorial foundation frameworks are new and unfamiliar in the IT world today but they’re indispensable in schemaless modeling just as encoding foundation frameworks are indispensable in schema modeling. In each case the foundation framework solves lots of fundamental problems and make it easy to efficiently reuse modeling elements. Open Practical English solves all the fundamental problems of mass-scale schemaless sharing and searching of open Internet information models and these are editorial problems rather than encoding problems.

Building any kind of good foundation framework is a major undertaking requiring highly specialized expertise and lots of effort. Open Practical English development has been underway for more than a dozen years and so far more than thirty thousand hours of expert editorial effort has been expended. Someday there will be alternatives to Open Practical English but for the foreseeable future it’s the only choice and today it’s the choice that provides the sound, solid, stable foundation needed to do successful schemaless Internet publishing.