DocumentCode :
566565
Title :
VIQI: A new approach for visual interpretation of deep web query interfaces
Author :
Boughammoura, Radhouane ; Hlaoua, Lobna ; Omri, Mohamed Nazih
Author_Institution :
Dept. of Sci. of Data Process., Fac. of Sci. of Monastir, Monastir, Tunisia
Volume :
1
fYear :
2012
fDate :
24-26 April 2012
Firstpage :
344
Lastpage :
349
Abstract :
Deep Web databases contain more than 90% of pertinent information of the Web. Despite their importance, users don´t profit of this treasury. Many deep web services are offering competitive services in term of prices, quality of service, and facilities. As the number of services is growing rapidly, users have difficulty to ask many web services in the same time. In this paper, we imagine a system where users have the possibility to formulate one query using one query interface and then the system translates query to the rest of query interfaces. However, interfaces are created by designers in order to be interpreted visually by users, machines can not interpret query from a given interface. We propose a new approach which emulates capacity of interpretation of users and extracts query from deep web query interfaces. Our approach has proved good performances on two standard datasets.
Keywords :
Internet; query processing; visual databases; VIQI; deep Web databases; deep Web query interfaces; deep Web services; visual interpretation; Automobiles; Noise; Servers; Visualization; Information Retrieval; Query Extraction; Query Model; Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Technology and Information Management (ICCM), 2012 8th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0893-9
Type :
conf
Filename :
6268520
Link To Document :
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