7 IR models based on predicate logic
7 IR models based on predicate logic
7 IR models based on predicate logic
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<str<strong>on</strong>g>IR</str<strong>on</strong>g> <str<strong>on</strong>g>models</str<strong>on</strong>g> <str<strong>on</strong>g>based</str<strong>on</strong>g> <strong>on</strong> <strong>predicate</strong> <strong>logic</strong> 3<br />
7.1.2 <str<strong>on</strong>g>IR</str<strong>on</strong>g> as uncertain inference<br />
d: ’quadrangles’<br />
q: ’rectangles’<br />
⇒ uncertain knowledge required<br />
’quadrangles’ 0.3<br />
→ ’rectangles’<br />
[Rijsbergen 86]:<br />
<str<strong>on</strong>g>IR</str<strong>on</strong>g> as uncertain inference<br />
Retrieval ˆ=<br />
estimate probability P (d → q) = P (q|d)<br />
q<br />
t 1<br />
t 4<br />
t 2<br />
t 5<br />
t 3<br />
t 6<br />
d<br />
Norbert Fuhr