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SUBJECTIVE CONTENT ACCESSIBILITY USING DATABASE APPROACH FOR DIGITAL LIBRARY

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Author(s): Sachin yele | Surendra Mishra, | Kamlesh Patidar, | Pankaj Dalal | Dr. Suresh Jain

Journal: International Journal on Computer Science and Engineering
ISSN 0975-3397

Volume: 3;
Issue: 3;
Start page: 1040;
Date: 2011;
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Keywords: Warehouse & data mining | Database | Metadata | Accessibility | Content accessibility | data mart - lib mart

ABSTRACT
Today’s digital library is a massive collection of various types and categories of documents. The existing search engines do not provide subjective search from the collection, as no information about context is stored. The existing search engine mostly uses the agent based search then the database based search. The database search is simpler easier but static verses dynamic Web. The work shows how database become dynamic, subjective and search query becomes simpler. The subjective and context based search is necessity of searchingin Digital Library. The user who may be researcher, students, and even common person expect subject or context and need content accessibility precise and subject specific. This paper presents the topic-word specific subjective search using the database approach in digital library, by data mining technique in warehouse.

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