Navigation Based on Adaptive Views
نویسنده
چکیده
We propose novel approach for navigation in the Semantic Web, which visualizes its repositories in two-dimensional graph of resources and their properties. Our view-based navigation helps users more easily understand and learn browsed information space. This decreases users’ effort to find relevant results in similar and related resources in fast-growing web repositories. Although graphs naturally visualize relations between resources, their size can make them unreadable and abstruse for conventional users. We avoid these problems by combination of layouting algorithm, supporting tools, next actions recommendation and hierarchy of adaptive views on results, where recommendation of next actions and adaptability to the user’s interests are based on analysis of users’ actions, their time and order.
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