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