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 Traditional data integration techniques are no longer valid in the face of such heterogeneity and scale, and the integrated interfaces can become too complicated for ordinary users to use.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