DocumentCode :
3389859
Title :
A easy user interface of IR system over large scale deep web
Author :
Yimin Li ; Chengjun Xie
Author_Institution :
Coll. of Comput. Sci. & Technol., Beihua Univ., Jilin, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
250
Lastpage :
253
Abstract :
The Deep Web is characterized by its large scale, domain diversity, very high-quality content, and vast heterogeneous collections of structured data. Traditional data integration techniques are no longer valid in the face of such heterogeneity and scale, and the integrated interfaces can become too complicated for ordinary users to use. In this paper, we propose a novel keyword-based user interface system EasyUI for achieving web-scale data integration and easy to use for ordinary users. Dealing with heterogeneity on the web-scale presents many new challenges. We proposed new methods to address these challenges, i.e., indexing schemata terms, data values, and domains features of the Deep Web, processing user input, mapping the user query to domain that the user query most likely corresponds to, and translating the user query into candidate structured queries for the domain. Our experiments show that EasyUI performs effectively.
Keywords :
Internet; data structures; indexing; query processing; user interfaces; Deep Web; IR system; Web-scale data integration; data integration technique; domain diversity; easy user interface; keyword-based user interface system; schemata terms indexing; structured data; user input processing; user query mapping; Accuracy; Data mining; Feature extraction; HTML; Indexing; deep web data integration; domain mapping; keyword-based query; query translation; user interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
Type :
conf
DOI :
10.1109/MEC.2011.6025448
Filename :
6025448
Link To Document :
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