Robert Short

Web3D – The Semantic Web - Introduction



Posted: Thursday, January 18, 2007

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With the introduction to the terminology of Web3.0 (a.k.a. The Semantic Web) a person may instinctually understand that the web is advancing at well-defined technical levels. For the most part, many web users have yet to gain a clear understanding of the Web level differentiations. With this in mind, I will attempt two objectives in this article. First is to illustrate from the service level perspective, the progressions of Web1, Web2 and Web3. Second is to discuss the engineering and design of building an AI Semantic Web without re-engineering the Internet.

Web 1 is most commonly known as dot-com advertising. The Web1 category basically presents information and collects data from visitors, usually sales information. Web 2 is best understood as social networking systems where users connect with other users, such as MySpace where the scenario is communications based. Web 3 usage is knowledge based and treats content as Objects. The good news is Web 3 promises a new perspective on how humans interact with information as well as the computer. This perspective change makes for a more Semantic Web and content becomes interactive knowledge and topical.

In order to reach the full potential of a Semantic Web certain design and engineering hurdles must be addressed. Most experts would agree that two basic capabilities must be achieved to survive this new millennium. First is the ability to change and implement change. Second is information dissemination without structured processes. Old world software engineering concepts that do not allow change and are not axiological based are likely to suffer heavy innovation competition at a fraction of cost. Object Oriented Programming is over two decades old and yet much of today’s software engineering development strategies continue with structured processes of repeated business logic.

In the old world, a software program would be defined in two parts. The first part is machine-readable code and second is data storage. In the old world design, the machine-readable code contains structured processes that are resilient to change. Also, old world designs store data in a method dependant upon the machine-readable structured process unusable by another program.

In the new world of software engineering, software programs will be defined axiologically or 3 dimensionally as I will discuss. The first part is a disseminating process or processes as declarative Objects. In other words, a simple outline of the task or process at hand. The second part is the Virtual 3D Axiological Inference Engine that remains to be machine-readable code but contains no internal application specific structured processes. The third part is dynamically created storage that is dependant upon the disseminated objects. This axiological approach makes for an AI Quantum Content Modeling System. It goes without saying, such technical innovation has far reaching benefits.

It is this new world engineering technique that will lend the AI behavior to topical knowledgebase technology without technical alterations to the existing Internet. Many people are working hard to introduce ideas and solutions regarding The Semantic Web. Likewise, many people are following the old world approach of application specific coding and eagerly searching for a coding structure to achieve the goal.

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