The Evolution and Evaluation of an Internet Search Tool for Information Analysts

We are working on a project aimed at building next generation analyst support tools that focus analysts’ attention on the most critical and novel information found within the data,, thus helping analysts deal with the information overload problem. .This paper discusses the Case-based Reasoning for Knowledge Discovery (CBR for KD) which is designed to support the Internet-based search and information gathering activities of information analysts. An information analyst gathers, organizes and analyzes information and based on that analysis, makes predictions that can be used for decision making. Because of the huge volumes of data that information analysts must search, effective information gathering on the web is a complex activity requiring planning, text processing, and interpretation of extracted data to find information relevant to a major analysis task or subtask (Etzioni and Weld, 1994), (Knoblock, 1995), (Lesser, 1998) and (Nodine, Fowler et al., 2000). We have identified knowl...

• Type: Conference
• Year: 2007
• Where: FLAIRS
• Authors: Elizabeth T. Whitaker, Robert L. Simpson Jr.
• Keywords: Artificial Intelligence, Case-based Reasoning, FLAIRS 2007, Information Analysts, Knowledge Discovery