DocumentCode
2662640
Title
Efficient and Robust Content Based Searching Based on XML Technology
Author
Ahmed, Kabeer ; Younus, Nabeel ; Rauf, Bilal ; Ashraf, Jamshaid
Author_Institution
Comput. Sci. Dept., Nat. Univ. of Sci. & Technol., Rawalpindi, Pakistan
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
71
Lastpage
75
Abstract
Extensible markup language (XML) is a sub part of the standard generalized markup language (SGML) and is a mother of wireless markup language (WML). This technology is effective for storage, searching and retrieval of data based on query. The bottleneck in the normal search engines is the lackness of proper metadata which proves to be an obstacle in the quick data retrieval. The XML has been replacing the traditional slow techniques quickly. The proposed system performs the efficient tag based online searching using simple application programming interface for XML (SAX) parser. System provides option to the user to store the entire document as an XML user-defined column. Fast search via indices is made for XML elements and this result in faster retrieval. Proposed system uses a SAX based component which uses the developed XML files for the retrieval. Component has been designed in such a way to get precise and efficient results.
Keywords
XML; application program interfaces; content-based retrieval; program compilers; XML parser; XML technology; data retrieval; data searching; data storage; extensible markup language; metadata; robust content based searching; search engines; simple application programming interface; standard generalized markup language; wireless markup language; Computer science; Data models; Educational institutions; Information retrieval; Internet; Relational databases; Robustness; SGML; Web sites; XML; DOM; SAX; XML; XPath; XQuery;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.80
Filename
5172602
Link To Document