Abstract
We propose and test simple approach exploiting MGL content as a benchmark for the assessment of content quality in medical web sites (WS). It is based on the idea that the information content or at least the scope of a medical text is reflected in the domain terminology used.
We consider a possible use of this approach in semiautomatic human-based quality verification and various aspects related to its application. Clinical vocabularies are used to discover medical terminology in both groups of texts (MGL and WS).
Both sets of terminology are then compared based on extracted data. The WS content quality is assessed firstly on the bases of the general content match (i.e. based on concepts or topics discovered) and secondly on the bases of the similarity of particular terminology used in MGLs.
Partial goal is to propose and evaluate suitable methods of aggregation of terminology in MGLs so that only one single standard for WS quality assessment might be applied in the end. Important goal is to evaluate the overall applicability of this approach in the process of semiautomatic quality assessment.