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\usepackage{concepts}
\usepackage{times}
\usepackage{epsfig}
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\theoremstyle{break}
\newtheorem{Def}{Definition}




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$^1$%
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$^2$%
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$^3$%
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$C''$%
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\lthtmlfigureA{algorithm61}%
\begin{algorithm}
% latex2html id marker 61

\caption{ConstructConceptHierarchy(D,T)}


\vspace{0.2cm}
 /* construct a hierarchy for the terms in $T$\  on
the basis of the documents in $D$\  */

\begin{algorithmic}[1]
\STATE Parses = parse(POS-tag($D$)); \\
\STATE SynDeps = tgrep(Parses); \\
\STATE lemmatize(SynDeps); \\
\STATE smooth(SynDeps); \\
\STATE weight(SynDeps); \\
\STATE SynDeps' = applyThreshold(SynDeps); \\
\STATE $K$\  = getFormalContext($T$,SynDeps'); \\
\STATE $(\mathfrak{B},\leq) = \hbox{computeLattice}(K)$; \\
\STATE $(C',\leq') = \hbox{transform}(\mathfrak{B},\leq)$; \\
\STATE $(C'',\leq'') = \hbox{compact}(C',\leq')$; \\
\STATE  return $(C'',\leq'')$; \\
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$A \subseteq G$%
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$\mu$%
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$g$%
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\lthtmldisplayA{eqnarraystar196}%
\begin{eqnarray*}
& & Conditional(n,v_{arg}) = P(n|v_{arg})=\frac{f(n,v_{arg})}{f(v_{arg})} \\\\
& & PMI(n,v_{arg}) = P(n|v_{arg}) \, log\, \frac{P(n|v_{arg})}{P(n)} \\\\
& & Resnik(n,v_{arg}) = S_R(v_{arg}) \, PMI(n,v_{arg})
\end{eqnarray*}%
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$D(P_1(V) \,\, || \,\, P_2(V)) = \sum_{v \in V} P_1(v) \,\, log \, \frac{P_1(v)}{P_2(v)}$%
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$\displaystyle \overline{TO}(O_1,O_2)=\frac{1}{|C_1|}\sum_{c \in C_1} TO(c,O_1,O_2)$%
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$\displaystyle TO''(c,O_1,O_2):=max_{c' \in C_2} \,\, \frac{|SC(c,O_1,O_2) \cap SC(c',O_2,O_1)|}{|SC(c,O_1,O_2) \cup SC(c',O_2,O_1)|}$%
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$C_{2}$%
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$F(O_{trivial},O_{ref})=50\%$%
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\begin{displaymath}F'(O_1,O_2)=\frac{2 \cdot 50\% \cdot 55.56\%}{50\% + 55.56\%}=52.63\%.\end{displaymath}%
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$P_{FCA,tourism}=29.33\%$%
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$R_{FCA,tourism}=65.49\%$%
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\appendix
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\end{document}
