  Thinking of todays web search scenario which is mainly keyword based, leads
to the need of effective and meaningful search provided by Semantic Web.
Existing search engines are vulnerable to provide relevant answers to users
query due to their dependency on simple data available in web pages. On other
hand, semantic search engines provide efficient and relevant results as the
semantic web manages information with well defined meaning using ontology. A
Meta-Search engine is a search tool that forwards users query to several
existing search engines and provides combined results by using their own page
ranking algorithm. SemanTelli is a meta semantic search engine that fetches
results from different semantic search engines such as Hakia, DuckDuckGo,
SenseBot through intelligent agents. This paper proposes enhancement of
SemanTelli with improved snippet analysis based page ranking algorithm and
support for image and news search.
