Distributed Intelligence (Knowledge Technology)
Distributed Intelligence is a means of dynamic knowledge creation. Distributed Intelligence is a capability of Resource Description Framework’s as defined by the W3C Organization. Distributed Intelligence is an essential component of an Innovative System and listed as a requirement by the World Bank Institute for a country to participate in the knowledge economy.
The concept of Distributed Intelligence is defined as being capable of knowledge representation by disseminating tags using Ontologies. The Ontologies are Axiologically Valued in the process of dynamically creating Resource Description Framework s (RDF) that are disseminated from a collection of data defined as a knowledgebase. The disseminated RDF becomes an XML formatted file that is downloadable as an attachment to that knowledgebase. One example is the dissemination and attachment of RDFs to an online encyclopedia that transforms it into a knowledgebase connecting a host of Intelligent Agents through Ontological Inference. A PC operating an Intelligent Agent could select any knowledgebase file and download the RDF into the Intelligent Agent. Proceeding, once the RDF is animated by the Intelligent Agent, the end-users content is given interoperability by an Ontology Tree that is Axiologically Valued relative to the contextualization of the selected knowledgebase creating an ODIS (Ontology-based Domain Repository). Distributed Intelligence occurs when a group of Intelligent Agents have a directive that is syntactically poised in a logical question to resolve problems using contextualization as the result for knowledge creation. Therefore, through Axiological Valuations of the Resource Description Framework’s Ontology allows a systems approach to such innovations as the ability to create knowledge in the form of a commodity.
- ^ Davis, Miles. “Industry Roadmap to Web 3.0 & Multibillion Dollar Market Opportunities”, Project10X Semantic Wave Report, 2009, pg 8
- ^ Michael Sintek, Stefan Decker: TRIPLE - A Query, Inference, and Transformation Language for the Semantic Web., First International Semantic Web Conference 2002: 364-378.
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