Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
Combining Information from Multiple Internet Sources
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
which allowed testing of these there approaches; this question could be answered, at least to some<br />
extent. Approaches differ in ways of data processing and combination yet they could be brought to a<br />
form that is unified and thus comparable. This unification process is described in chapter 3 which<br />
presents implementation of those three approaches. Preliminary testing of those approaches was<br />
performed and the results are presented in further parts of the document. Tests which were<br />
conducted provide a view on the implemented information processing methods – how they perform<br />
when compared to single search engines and to each other; which approach yielded the “best”<br />
results and which has proven to be the “weakest” one.<br />
1.2 Thesis outline<br />
Chapter 2 presents the design of the tool which was used to help in testing those approaches.<br />
Chapter contains the description of all communication between parts of the system as well as the<br />
test application implementation details and the general application work flow.<br />
Chapter 3 presents the three approaches: Game theory based, Auction based and Consensus<br />
based methods for information combining. Chapter presents their background, implementation and<br />
workflows.<br />
Chapter 4 presents the tests that were conducted during work on this thesis. This chapter<br />
presents results of the three approaches and their comparison under certain conditions. Chapter also<br />
contains the conclusions describing the test results.<br />
Chapter 5 presents final remarks on tests and possibilities of future work concerning combining<br />
information <strong>from</strong> multiple <strong>Internet</strong> sources.<br />
4