Title :
Construction of deep web information retrieval system in e-commerce field
Author :
Liu, Gang ; Liu, Kai
Author_Institution :
School Of Computer Science and Engineering, Changchun University Of Technology, Changchun China
Abstract :
With the increasing number of e-commerce sites, how to get a quick search about the information you want from thousands of e-commerce networks is becoming an urgent problem. In this paper, we present a solution to this problem, first, domain knowledge is established according to the e-commerce field, then we build a deep web information retrieval system based on e-commerce to help users find the goods they want quickly from different e-commerce sites, this system is established by deep web interface extraction, interface integration and interface AutoFill technology.
Keywords :
Conferences; Data mining; Ontologies; Semantics; Web sites; Information extraction; Ontology; Schema Matching; deep Web-query Translation;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5886812