DocumentCode
478267
Title
Integration of Query Interfaces for Deep Web Databases
Author
Wang, Ying ; Zuo, Wanli ; Peng, Tao ; He, Fengling
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
Volume
4
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
157
Lastpage
161
Abstract
On the deep Web, a significant amount of information can only be accessed through query interfaces, so an important step is the integration of these interfaces. In this paper, we aim to construct automatically a query interface that integrates a set of interfaces in the same domain and permit users to access information uniformly from multiple sources. The integration of query interfaces can be divided into two steps: interface matching and interface integration. During the process of interface matching, we use domain ontology conception mapping technology to discovery the semantic correspondences among the attributes in Web interfaces and adopt a clustering-based approach as query interface matching techniques. Once a set of query interfaces is matched, we can automatically construct a well-designed query interface that contains all the distinct attributes of sources interfaces. Extensive experiments are conducted and results show that our approach is highly effective.
Keywords
Internet; database management systems; ontologies (artificial intelligence); pattern clustering; pattern matching; query processing; clustering-based approach; deep Web databases; domain ontology conception mapping technology; interface integration; query interface matching; query interfaces; semantic correspondences; Computer interfaces; Computer science; Databases; Educational institutions; HTML; Helium; Ontologies; Uniform resource locators; Web pages; Web search; Cluster; Integration Matching; Interface Integration; deep web;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.351
Filename
4667268
Link To Document