Interactive Framework for Exploratory Search, Integration, and Visual Analysis of Semantic Web Resources
Bin Piao, Yuzuru Tanaka · 2014
In this paper, we propose an extended interactive framework for exploratory search, integration, and visual analysis of semantic web resources. In our previous framework, users can visually and dynamically repeat the process of schema extraction, its expansion, schema integration, visual query definition, and query evaluation for finding information in an exploratory way until they get all the information they need from the semantic web. To extend our previous framework, we provide a new component and coordination rules to enable users to dynamically construct coordinated multiple views to visualize and analyze retrieved semantic web resources. Users can select multiple data by interacting with the constructed multiple views to filter and compare data or to find relationships in large and highly interconnected datasets by using brushing-and-linking technique.