What Are The Main Knowledge-Resource Run-Time Environment Requirements?

• Effective design based on scientific knowledge and knowledge architecture understanding
• Generalization of processing (ex: pipelines) and structures (ex: archetypes)
• High performance for deep content analysis and management, through streaming and parallelization
• Agility through full dynamic run-time operation and maintenance
• Granularity from unlimited recursive network-graph structures and processing
• Scalability through modular design, generalization, granularity, high performance, and effective distributed platforms (ex: J2EE, .NET, SOA, REST, Cloud)
• Virtualization through persistence decoupling, redundancy, and prioritization
• Security through selective entitlement-based cryptography and cryptographic key management
• Standards support for sharing compatibility, modularity, compliance