Abstract
The Linked Open Data provides useful information on huge number of related entities gathered from numerous distributed data sources residing in the cloud. Searching for the required information in this big data is one of the key challenges, in the domain of Information Retrieval, where various studies have been conducted for multiple purposes. These studies highlighted three main challenges: querying ambiguity, information incompleteness, and visualization techniques. In this paper, we introduce a visualization approach which provides a more informative view and additional understanding of semantic data over DBpedia. We show that our proposed solution, considered as efficient for users, overcomes the other existing ones by hiding complexity, and by offering users the information of interest.