DocumentCode :
606185
Title :
Structural- based clustering technique of XML documents
Author :
Posonia, A. Mary ; Jyothi, V.L.
Author_Institution :
Dept. of Comput. Sci., Sathyabama Univ. of India, Chennai, India
fYear :
2013
fDate :
20-21 March 2013
Firstpage :
1239
Lastpage :
1242
Abstract :
Keyword search is an efficient technique for information retrieval and querying XML documents by the casual end users without understanding the complex syntax and semantics of the structured and semi structured data. This paper proposes a method of grouping structurally similar XML documents. A schematic description of a XML documents designed as a rooted ordered trees. Efficient clustering algorithm based on structural and semantic measure to estimate the similar XML document trees. The structural grouping of XML documents to furnish inherent clustering and better performance.
Keywords :
XML; pattern clustering; query processing; tree data structures; XML document querying; cIustering algorithm; casual end users; information retrieval; keyword search; rooted ordered trees; schematic description; semantic measure; semistructured data semantics; semistructured data syntax; structural-based clustering technique; structurally similar XML document grouping; structured data semantics; structured data syntax; Algorithm design and analysis; Databases; XML; Document Clustering; Information retrieval; XML database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-4921-5
Type :
conf
DOI :
10.1109/ICCPCT.2013.6528941
Filename :
6528941
Link To Document :
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