DocumentCode :
2053650
Title :
Refinement Methodology for Automatic Document Alignment Using Taxonomy in Digital Libraries
Author :
Fatima, Iram ; Khan, Sharifullah ; Latif, Khalid
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., NUST, Islamabad, Pakistan
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
281
Lastpage :
286
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 key phrase extraction algorithm. The evaluation shows promising results.
Keywords :
digital libraries; document handling; information retrieval; automatic document alignment; digital libraries; hierarchical structure; information retrieval; refinement methodology; semantic alignment; semantic description; semantic key phrase extraction; taxonomy; Computer science; Data mining; Filtering; Frequency; Information retrieval; Machine learning; Machine learning algorithms; Software libraries; Taxonomy; Training data; Information Extraction; Information Retrieval; Keyphrase EXtraction; Semantic Alignment; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing, 2009. ICSC '09. IEEE International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-4962-0
Electronic_ISBN :
978-0-7695-3800-6
Type :
conf
DOI :
10.1109/ICSC.2009.45
Filename :
5298633
Link To Document :
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