Robert Short

Web3D – The Semantic Web – Building an AI Inference Engine



Posted: Thursday, January 18, 2007

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The Web3D Semantic Web promises to reveal a new frontier that is just ahead on the scientific horizon waiting for full discovery . The scientific community will greatly benefit by the axiological approach to The Semantic Web because content becomes interactive as deductive results disseminate into knowledge.

The Web3D axiological approach makes for an AI behavior formatted in a Quantum Ontology Modeling System. Quantum Ontology Modeling is modeled after Quantum Strings Technology. Although Quantum Strings Technology is mostly sought after by theoretical physicist everything under the Sun would benefit by such a non-Parodical Model.

In theoretical terms building a Virtual 3D Axiological Inference Engine is very complex. The primary obstacle to development of a Virtual 3D Axiological Inference Engine is not to avoid a Parodical by injecting a conditional branch but rather assure non-Parodical events are sustainable within the environment of the engine itself. A true Virtual 3D Axiological Inference Engine realizes three AI Persistent Quantum types of Content Objects. The first AI Persistent is Content Object Looping that has a constant persistent. The second AI Persistent is the Short Content Object that has a designated termination to a constant sequence and may be replayed time and time again in symmetry and/or in synchronicity with other Content Objects. The Short Content Object may have two scenarios for AI Potential. The first Short Content Object AI Potential is the Realized or Simple. The second Short Content Object AI Potential is the Unrealized or Complex. The third AI Persistent is the Super Content Object and may have two scenario AI Potentials. The first Super Content Object AI Potential is the Realized or Simple. The second Super Content Object AI Potential is the Unrealized or Complex.

A Virtual 3D Axiological Inference Engine applies the Super Symmetry theory to Quantum Ontology Modeling because the engine is not background independent, but inertly dependent on an "asymptotic background" referred to as the Landscape. Landscapes are topical such as social and economic, automotive, insurance, global warming). Regardless of the asymptotic background of a Virtual 3D Axiological Inference Engine, all Content Objects are disseminated intelligently and differentiated elementally by Unifiers that apply Axiological Algorithms (axioms) to Potentialize an unstructured Super Symmetry process within an environment of structured asymptotic influences.

In non-theoretical terms this system would allow a non-programmer to declaratively define a task or process in a simple outline form and save the outline to an XML file. Then load the outline in a compatible Inference Engine and run the outline just as it were an application specific software program.

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