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A Framework for Information Extraction, Storage and Retrieval
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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.
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| URL |
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| Publication year |
2004
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| Pages |
327-332
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| Organization Name |
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| Country |
Egypt
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| City |
Cairo
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| serial title |
ICENCO2004
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| Web Page |
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| Department |
Knowledge Engineering and Expert System Building Tools
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| Author(s) from ARC |
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| Agris Categories |
Documentation and information
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| Proposed Agrovoc |
Information Extraction; Information Retrieval;
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| Publication Type |
Conference/Workshop
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