Title :
XML Retrieval with Structural Context Relaxation
Author :
Yanlong Wen ; Xinkun Li ; Xiangrui Cai ; Ying Zhang ; Xiaojie Yuan
Author_Institution :
Dept. of Comput. Sci. & Inf. Security, Nankai Univ., Tianjin, China
Abstract :
In this paper, we propose an approach to retrieval XML data with structural context relaxation. We process user query and XML documents as structural term set. Context resemblance is computed based on level weight of element in context, level similarity between elements in longest matched subsequence and other factors. We extend Vector Space Model to answer XML content and structure search. Experiments show that our method has good performance on XML content and structure search.
Keywords :
XML; content-based retrieval; data structures; XML content search; XML data retrieval; XML structure search; element level weight; level similarity; structural context relaxation; structural term set; user query; vector space model; Books; Context; Databases; Media; Sections; Vectors; XML; Vector Space Model; XML; content and structure search; structural context;
Conference_Titel :
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2140-9
DOI :
10.1109/EIDWT.2013.136
