Synergist: Collaborative Analyst Assistant

摘要

Intelligence Analysts work with a significant amount of information expressed in natural language. The textual information that Analysts work with or generate provide important clues on what is known to them, what are their immediate and long term needs, and what aspects are typically explored or missed in the context of a particular topic. For CASE, Lymba developed Synergist: Collaborative Analyst Assistant, an automated system that understands unstructured content, extracts knowledge from text and collaborates with intelligence analysts to model their needs and to aid with their information discovery. Synergist provides a grid-computing framework for state- of-the-art natural language processing to extract rich semantic information from large document collections. With a hierarchical semantic representation of entity, event, relation and context information text, Synergist is able to capture, represent and organize the knowledge from text in ontologies and knowledge bases.