Internet Business Intelligence
Résumé
Abstract—Business Intelligence (BI) refers to computer-based
techniques used in spotting, digging-out, and analyzing business
data. It is mainly focused on how to dig out business data. This
type of business data is a on-line web database which can be
searched through their Web query interfaces. Deep Web (often
called hidden web or invisible web) is composed of all the web
databases. With the evolution of the ”deep web”, more and
more researchers pay attention to the ”integration” of the web
database. However, to achieve this goal, it needs a complex system
and many applications to work together. We are interested in an
automatic extracting system to get the formulas or the lists of
the results from those websites in specific domain of government
procurement. To tackle this challenge, we propose a solution to
create a unified interface and to inquire resources in a predefined
domain. In this paper, we will discuss the automatic extracting
system in several steps. First of all, the web query interfaces
crawler which can execute JavaScript guarantees the coverage
of the web database. Secondly, the query interface extractor and
the interface integrator can allow us query all these founded
web databases through a global query interface. Thirdly, the
result page extractor and the result integrator can give a unified
presentation. Lastly, a feedback method is developed to gather
the result accuracy. A statistical model is built to improve the
performance of the step 2 and 3. We assume our system is a
dynamic system, which means the more we use it, the more
precise results we will get.
Keywords-schema matching; web-database integration;