  The result listing from search engines includes a link and a snippet from the
web page for each result item. The snippet in the result listing plays a vital
role in assisting the user to click on it. This paper proposes a novel approach
to construct the snippets based on a semantic evaluation of the segments in the
page. The target segment(s) is/are identified by applying a model to evaluate
segments present in the page and selecting the segments with top scores. The
proposed model makes the user judgment to click on a result item easier since
the snippet is constructed semantically after a critical evaluation based on
multiple factors. A prototype implementation of the proposed model confirms the
empirical validation.
