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Titles
English : A Framework for Information Extraction, Storage and Retrieval
Abstract This paper presents a set of tools that were developed in order to facilitate and speed up the process of building information extraction and retrieval systems for documents that exhibit a set of predefined characteristics. Specifically, the work 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 paper presents a simple model for defining background knowledge and for using that to automatically augment segments of input documents with metadata in order to assist users in easily locating information within these documents through a structured front end. The model presented makes use of both document structure as well as dynamically acquired background knowledge to achieve its goals.
URL
Publication year 2004
Pages 327-332
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
Country Egypt
City Cairo
serial title ICENCO2004
Web Page
Department Knowledge Engineering and Expert System Building Tools
Author(s) from ARC
Agris Categories Documentation and information
Proposed Agrovoc Information Extraction; Information Retrieval;
Publication Type Conference/Workshop

 
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