Discusses three conceptual components of the semantic web project (1. expressing meaning, 2. knowledge representation, and 3. ontologies), with "educated layperson's" technical details on semantic markup, software agents, and machine-readable content serv
Discusses three conceptual components of the semantic web project (1. expressing meaning, 2. knowledge representation, and 3. ontologies), with "educated layperson's" technical details on semantic markup, software agents, and machine-readable content serv
Internet singularity? Microsoft's Gary Flake, launching Live Labs, says it's "a deeper and tighter coupling between the online and offline worlds," while a blog commenter says, "There can be no Web 2.0 Singularity in the enterprise until organizations ta
Internet singularity? Microsoft's Gary Flake, launching Live Labs, says it's "a deeper and tighter coupling between the online and offline worlds," while a blog commenter says, "There can be no Web 2.0 Singularity in the enterprise until organizations ta
The emergence of P2P Inference Engines and domain-specific ontologies in Web 3.0 (aka Semantic Web) will present a major threat to the central “search” engine model. In Web 3.0 (aka Semantic Web) P2P Inference Engines running on millions of users’ P
The emergence of P2P Inference Engines and domain-specific ontologies in Web 3.0 (aka Semantic Web) will present a major threat to the central “search” engine model. In Web 3.0 (aka Semantic Web) P2P Inference Engines running on millions of users’ P
Web architecture from 50,000 feet up... decentralization and tolerance are the life and breath of Internet...If an engine of the future combines a reasoning engine with a search engine...able to construct proofs in a certain number of cases of very real i
Web architecture from 50,000 feet up... decentralization and tolerance are the life and breath of Internet...If an engine of the future combines a reasoning engine with a search engine...able to construct proofs in a certain number of cases of very real i
Machines (or machine-based reasoning, aka 'AI software' or ‘info agents’) would then be able to use those laboriously –but not entirely manually– constructed ontologies to build a view (or formal model) of how the individual terms within the infor
Machines (or machine-based reasoning, aka 'AI software' or ‘info agents’) would then be able to use those laboriously –but not entirely manually– constructed ontologies to build a view (or formal model) of how the individual terms within the infor