The Architecture of the Cornell Knowledge Broker

Intelligence applications have to process massive amounts of data in order to extract relevant information. This includes archived historical data as well as continuously arriving new data. We propose a novel architecture that addresses this problem – the Cornell Knowledge Broker. It will not only support knowledge discovery, but also security, privacy, information exchange, and collaboration.

• Type: Conference
• Year: 2004
• Where: ISI
• Authors: Alan J. Demers, Johannes Gehrke, Mirek Riedewald
• Keywords: Archived Historical Data, Cornell Knowledge Broker, ISI 2004, Massive Amounts