CONCLUSION


This chapter has addressed the particular problem of attempting to locate, by using a user -friendly structured interface, information in organizational publications that are issued in large volumes and which cover similar concepts or issues. The general aim of the work described was 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.

We have successfully applied the presented model for extension documents within the agricultural domain. The technique used to achieve this goal is a simple but powerful one, which could be generalized to apply to any collection of documents that cover similar concepts within a known domain.




(ed.) Intelligent Agents for Data Mining and Information Retrieval
(ed.) Intelligent Agents for Data Mining and Information Retrieval
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 171

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