Title
Refinement Methodology for Automatic Document Alignment Using Taxonomy in Digital Libraries
Abstract
Effective information retrieval in digital libraries requires semantic alignments of documents with taxonomy. The alignments provide the semantic description of documents. The proposed methodology aligns documents using the hierarchical structure of taxonomy. It refines the results of the existing semantic keyphrase extraction algorithm. The evaluation shows promising results.
Year
DOI
Venue
2009
10.1109/ICSC.2009.45
ICSC
Keywords
Field
DocType
digital libraries,proposed methodology aligns document,digital library,effective information retrieval,existing semantic keyphrase extraction,hierarchical structure,semantic alignment,automatic document alignment,semantic description,refinement methodology,information extraction,feature extraction,taxonomy,classification algorithms,information retrieval,filtering,data mining
Information retrieval,Computer science,Extraction algorithm,Semantic alignment,Filter (signal processing),Feature extraction,Information extraction,Digital library,Statistical classification,Document handling
Conference
Citations 
PageRank 
References 
1
0.38
14
Authors
3
Name
Order
Citations
PageRank
Iram Fatima1535.66
Sharifullah Khan24011.64
Khalid Latif321320.97