Retrieving and organizing web pages by “information unit”
Proceedings of the 10th international conference on World Wide Web
Cluster-Based Exploration for Effective Keyword Search over Semantic Datasets
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Semantic Web Information Management: A Model-Based Perspective
Semantic Web Information Management: A Model-Based Perspective
Querying RDF data from a graph database perspective
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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Searching relevant information from Web may be a very tedious task. If people cannot navigate through the Web site, they will quickly leave. Thus, designing effective navigation strategies on Web sites is crucial. In this paper we provide and implement centrality indices to guide the user for an effective navigation of Web pages. We get inspiration from well-know location family problems to compute the center of a graph: a joint use of such indices guarantees the automatic selection of the best starting point. To validate our approach, we have developed a system that implements the techniques described in this paper on top of an engine for keyword-based search over RDF data. Such system exploits an interactive front-end to support the user in the visualization of both annotations and corresponding Web pages. Experiments over widely used benchmarks have shown very good results.