Automatic extraction and processing of document references

Automatic extraction and processing of document references
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   Description
Master& 39;s Thesis from the year 2007 in the subject Computer Science - Applied, grade: 1.0, University of Sunderland (School of Computing and Technology), language: English, abstract: While reading documents, you often encounter text passages advising you to refer to other documents for more information about a specific topic. These references to other documents are particularly common in technical documents, written for the sole purpose of providing the reader with as much relevant information as possible, without rephrasing information that can be found elsewhere. Knowing how the documents in a system are interrelated, i.e. which other documents a document refers to or is referred by, can be extremely helpful when trying to get access to relevant information. A typicalexample of such a& 34;knowledge net& 34; providing information about document relations is CiteSeer, a digital library of academic literature. For each document in the library system, CiteSeer displays lists of related documents, such as a list of documents thatthe current document cites as well as a list of documents that the current document is cited by. The assumption that inspired this thesis is that such lists are not only helpful when reading academic literature but could also assist a reader of technical documentsstored in a company& 39;s document management system. The idea was thus to extend an existing document management system by displaying, for each document stored in the system, a list of link...
   Technical Details
author: Kathrin Eichler
binding: 148x210 мм
ISBN: 9783640723164
language: English
page_extent: 72
Type: book
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