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Titles
English : Using Dynamically Acquired Background Knowledge For Information Extraction And Intelligent Search
Abstract This paper presents a simple framework for extracting information found in publications or documents that are issued in large volumes and which cover similar concepts or issues within a given domain. The general aim of the work described, is to present a model for automatically augmenting segments of these documents with metadata using dynamically acquired background domain knowledge in order to assist users in easily locating information within these documents through a structured front end. To realize this goal, both document structure as well as dynamically acquired background knowledge, are utilized. A real life example where these ideas have been applied is also presented.
URL
Publication year 2004
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
Country United States
City Hershey
Publisher Name: Idea Group Publishing
serial title Intelligent Agents for Data Mining and Information Retrieval
Department Knowledge Engineering and Expert System Building Tools
Project
Author(s) from ARC
Book editors Masoud Mohammadian
Agris Categories Documentation and information
Publication Type Book / Book Chapter

 
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