DocumentCode :
2896353
Title :
Automatic Filling Forms of Deep Web Entries Based on Ontology
Author :
Wang, Ying ; Peng, Tao ; Zuo, Wanli ; Li, Ran
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
376
Lastpage :
380
Abstract :
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.
Keywords :
Internet; business forms; ontologies (artificial intelligence); query processing; user interfaces; automatic forms filling; back-end database; deep Web entries; integration interface; local interfaces; ontology; query interface; query translation; schema matching; Data models; Databases; Electronic mail; Filling; Inference algorithms; Information systems; Ontologies; Sufficient conditions; XML; deep web; query translation; schema extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Mining, 2009. WISM 2009. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3817-4
Type :
conf
DOI :
10.1109/WISM.2009.83
Filename :
5368235
Link To Document :
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