A deep Web data integration system for job search

Autor: Ling Yan-Yan, Liu Wei, Li Xian, Zhang Xiaoyu, Meng Xiaofeng
Rok vydání: 2006
Předmět:
Zdroj: Wuhan University Journal of Natural Sciences. 11:1197-1201
ISSN: 1993-4998
1007-1202
DOI: 10.1007/bf02829236
Popis: With the rapid development of Web, there are more and more Web databases available for users to access. At the same time, job searchers often have difficulties in first finding the right sources and then querying over them, providing such an integrated job search system over Web databases has become a Web application in high demand. Based on such consideration, we build a deep Web data integration system that supports unified access for users to multiple job Web sites as a job meta-search engine. In this paper, the architecture of the system is given first, and the key components in the system are introduced.
Databáze: OpenAIRE