Deep web integration with VisQI | Zendy

Thomas Kabisch | Zendy; Eduard Dragut | Zendy; Clement Yu | Zendy; Ulf Leser | Zendy

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Deep web integration with VisQI

Author(s) -

Thomas Kabisch,

Eduard Dragut,

Clement Yu,

Ulf Leser

Publication year - 2010

Publication title -

proceedings of the vldb endowment

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.946

H-Index - 134

ISSN - 2150-8097

DOI - 10.14778/1920841.1921053

Subject(s) - deep web , computer science , reuse , interface (matter) , system integration , matching (statistics) , data integration , architecture , information retrieval , world wide web , database , the internet , engineering , operating system , art , statistics , mathematics , bubble , maximum bubble pressure method , visual arts , waste management

In this paper, we present VisQI (VISual Query interface Integration system), a Deep Web integration system. VisQI is capable of (1) transforming Web query interfaces into hierarchically structured representations, (2) of classifying them into application domains and (3) of matching the elements of different interfaces. Thus VisQI contains solutions for the major challenges in building Deep Web integration systems. The system comes along with a full-fledged evaluation system that automatically compares generated data structures against a gold standard. VisQI has a framework-like architecture such that other developers can reuse its components easily.

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