Improving Web Query Processing with Integrating Intelligent Algorithm and XML for Heterogeneous Database Access

Autor:	Mohd Kamir Yusof, Sufian Mat Deris, Surayati Usop, Ahmad Faisal Amri Abidin
Rok vydání:	2011
Předmět:	XML Encryption Information retrieval Database Computer science SOAP computer.internet_protocol Efficient XML Interchange XML Signature XML validation computer.file_format computer.software_genre XML framework XML database Streaming XML computer Algorithm
Zdroj:	Communications in Computer and Information Science ISBN: 9783642220265 DICTAP (2)
DOI:	10.1007/978-3-642-22027-2_31
Popis:	A good methodology for web query processing is needed to improve web query processing. In order to improve web processing in web based application, new and robust methods should be identified. In this research, web query processing for heterogeneous database access issue will determine and provide a proposed method to overcome this issue. The issue is time performance for searching and retrieving process in heterogeneous database access. In order to overcome this problem, intelligent algorithm was designed. This intelligent algorithm was integrated with XML language. XML is powerful tool for data exchange. Experiments have been done by comparing XML and integration between XML and proposed intelligent algorithm. The result indicates the integration between XML and proposed intelligent algorithm is better compared to XML in term of time performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e9e89ef100adbf99ac6c37a51f0712e2 https://doi.org/10.1007/978-3-642-22027-2_31 Zobrazit plný text záznamu