Automatic Filling Forms of Deep Web Entries Based on Ontology
Ying Wang, Tao Peng, Wanli Zuo, Ran Li · 2009
In deep web, a significant amount of information can only be accessed through query interface of a back-end database, however, general search engine can not interact with the query interface, resulting in the myriad hidden and unvisible information can not be accessed. Therefore, this paper proposes a novel method of filling forms of deep web entries by importing ontology technique. Firstly, construct core ontology and the semantics of concepts in the core ontology can be enriched during schema matching. Secondly, capture the matching relationships between local interfaces and integration interface, and decompose the query conditions of integration interface which are submitted by user into corresponding query conditions of local interfaces to finish filling forms of deep web entries automatically. Lastly, automatically trigger button to submit query. Experiment result shows that this method is feasible and effective.