anchor.diff:  
   After that, we evaluate Performance as:
   
  -Performance = latexmath:[$\left\{
  +Performance = latexmath:[\left\{
       \begin{array}{ll}
  -        \multicolumn{2}{l}{100.0 * (1.0 - {\rm Execution~Time})} \\
  -          & {\rm if~Execution~Time~is~less~than~1~second}  \\
  +        100.0 * (1.0 - {\rm Execution~Time}) & {\rm if~Execution~Time~is~less~than~1~second} \\
           0 & {\rm Otherwise}
       \end{array}
  -    \right.$]
  +    \right.]
  
positive.code: Vocabulary Score is calculated as follows:
  +
  Vocabulary Score =
  latexmath:[$\frac{\displaystyle \sum_{graphs}^{g}v(g)}{N}$]
  +
  where
  +
  latexmath:[$N$] = Number of Graphs
  +
  latexmath:[$v(g)$] = Number of Properties in Graph g
  * Ontology Score
  +
  Ontology Score, which is calculated based on metadata, represents how
  
negative.code: Ontology Score is calculated as follows:
  +
  Vocabulary Score =
  latexmath:[\frac{\displaystyle \sum_{graphs}^{g}o(g)}{N}]
  
  where
  
  latexmath:[N] = Number of Graphs
  
  latexmath:[o(g)] = latexmath:[\frac{NCO}{NO}]
  
  latexmath:[NO] = Number of Ontologies used for Properties
  
  latexmath:[NCO] = Number of Ontologies used for Properties in Table
  \[table:list_of_common_ontologies\]
  +
  .List of Common Ontologies
  