A novel metadata based meta-search engine.
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We present a novel meta-search engine called DYNIQX for metadata based cross search in order to study the effect of metadata in collection fusion. DYNIQX exploits the availability of metadata in academic search services such as PubMed and Google Scholar etc for fusing search results from heterogeneous search engines. Furthermore, metadata from these search engines are used for generating dynamic query controls such as sliders and tick boxes etc for users to filter search results.