Coretalk.net
Cubicon Technology Innovations

The Cubicon Semantic Net moves from the Semantic Web language-based architecture to a concept-based architecture. This architecture improves the synergy between information and theory using an intelligent graph approach. Cubicon graphs provide universal knowledge assimilation across countries and cultures by capturing information within contents and theory within concepts. This approach will enable users to effectively comprehend and apply those portions of vast knowledge maps that are deemed by a user to be of interest within their context.

This Semantic Desktop is characterized by the following 10 technology innovations:

1) Cubicon components: Tears down Tower of Babel – A singular global iconic language that offers a strong semantic model with representational clarity. The iconic syntax represented in cube components is linked to a binary architecture. Cubicon executes in high performance Context Engines a generation beyond the Java VM. It subsumes XML, O-O, RDBMS and UML structure models. It automates Java, C# and scripting language behavior models.

2) Stationary agent binds content resources – A Content Binder Agent is analytic behavior that lives in a topic and examines content resource information. Dynamic content may be sourced from databases accessed through extranets and virtual private networks. This topic behavior can also consider term, association, role and aspect map characteristics.

3) Navigation leapfrogs search – Cubicon concept-base architecture is independent of natural languages, therefore sharable. This global sharing requires universal-reasoning rules that enable topics to be actualized from the same community subject and allows a same term to be declared in different subject taxonomies.

4) Traveling agent gathers information – A Situation Service Agent is analytic behavior that navigates from topic-to-topic and map-to-map. It analyzes concepts and content resources using induction, abduction and deduction reasoning. An agent returns causality events to a user or other service. Agent execution is performed by cube operations in a Context Engine’s secure sandbox, thus this “automated intelligence” will not compromise device environment.

5) Topic Map visualization renders clarity – A Topic Map is rendered either in the Semantic Desktop or in a CubeStudio perspective window. It augments human cognition and our common strong pattern matching capabilities presenting a goal-oriented environment for gathering and manipulating real time collective intelligence.

6) Net Navigator shares insight – Cubicon transforms the Internet from a Web browser to a Net navigation experience where information is transformed into flexible knowledge representations. A Net Navigator displays knowledge derived from accessing Topic Maps through Situation Services. This “live” application interface enables a user to understand decision choices and weight possible outcomes.

7) Icon/Numeric xID allows language independence – Iconic representation enables universal knowledge assimilation. Terms and names are internally represented as globally unique numeric identifiers (xIDs). Concept-based representation fuses iconic syntax with cube component semantics where each component is sourced from one community. The Context Engine processes language-neutral binary transactions.

8) Context Registry provides global understanding – The Cubicon Context Registry harmonizes concepts between communities of interest. It also automates concept/component discovery as well as negotiates service transactions between entities.

9) Advanced mechanisms build-out Semantic Net – Context Registry automation drives the evolution of this new knowledge infrastructure through three mechanisms: a) Topic discovery links other maps through subject term matching. b) Concept deduction automatically relates other community concepts through a taxonomy harmonization process. c) Device algorithm is a user-created behavior that self-evolves a map through reflection.

10) Intrinsic commerce model cultivates sharing and profit – The Semantic Desktop will be available for trial use through entity registration. Maintaining Semantic Net presence requires an annual fee much like a domain-name registration. This infrastructure provides mechanisms that generate multiple revenue streams that enable a user to control access to their context and content resources as well as their reuse policy. These mechanisms will enable a shift from the advertising model to an IP entitlement model.

Cubicon addresses problems and limitations from a first principle science basis that is virtually impossible for any competing engineering group to duplicate in foreseeable future. Cubicon overcomes the complexities of W3C Resource Description Framework (RDF) and Web Ontology Language (OWL) specifications.