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In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in the ontology. In order to effectively retrieve the most relevant top-k resources, we propose a novel ranking model. To do this, we devise a measure to determine the weight of the semantic relationship. In addition, we consider the number of meaningful semantic relationships between a resource and keywords, the coveragedoi:10.1145/1526709.1526854 dblp:conf/www/LeeMC09 fatcat:hvfkhqxu3zadto3vib3bqzkusy