Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/1289
Title: Application of Vector Based Information Access in Bibliographical Database
Authors: Singh, R K Joteen
Keywords: Data mining
Data warehouse
Document-term frequency matrix
Cosine distance
Issue Date: 9-Nov-2006
Publisher: INFLIBNET Centre
Abstract: Developing a bibliographical database is not an easy task. While developing it the designer must think about exchange of record, minimum consumption of memory, effective retrieval of the database content, etc. With these concepts in mine, the bibliographical database should be designed and provided mandatory attributes for capturing data. Most of the Information Retrieval Systems are based on keywords of the document and retrieve a list of documents in response to a user’s query. Then the user has to sequentially determine his/her relevant document. A keyword-based retrieval is a simple model that can encounter two major difficulties such as synonymy and polosemy problem. This paper introduces the application of vector based information retrieval technique in bibliographical database for effective retrieval.
URI: http://hdl.handle.net/1944/1289
ISBN: 81-902079-3-8
Appears in Collections:PLANNER 2006

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