ZettaMeta: Metadata Management Using Distributed Semantic Data Adapters

The future of net-centric DoD operations is a future characterized by massive data management problems and information overload. Existing tools and capabilities are incapable of handling the huge bandwidth and analysis needs of structured data, metadata, semantic content, and unstructured information resources. Kitenga Co., as part of our ZettaVox cloud and cluster content mining product line, proposes to develop a novel distributed metadata management architecture capable of handling complex arrangements of semantic web, text and structured data for cloud-scale analysis problems. The proposed system, ZettaMeta, will support the application, use and reuse of DoD standardized metadata like DDMS across heterogeneous computing architectures through an advanced adapter system that is hardened against failures and uses dynamic knowledge interchange to accelerate queries and discovery over disparate resources.