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    STUDIA INFORMATICA - Issue no. Sp.Issue%202 / 2009  
         
  Article:   ENHANCING YAHOO! SEARCH RESULTS USING LINKED OPEN DATA.

Authors:  CIPRIAN AMARIEI, EMANUEL ONICA, SABIN C. BURAGA. 		 
       
         
  Abstract:   The common web searches in the present day can no longer be fulfilled through simple page content based crawling. Usually, an informational query made through a search engine is far less often targeted only to finding aspecific result containing the asked terms and is much more focused on getting the most relevant response in a specific context and eventually broaden up this context by offering related information without losing the initial search idea. Tosatisfy such user needs, methods based on the semantic mechanisms of the web emerged, many of these using Linked Open Data (LOD) in their functionality.We present certain ideas of enhancing the search results obtained through one of the current semantic search solutions - the Yahoo Search Monkey, mainly based on custom LOD exploitation.

Key words and phrases. search, linked open data, Web. 		 
         
     
         
         
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