作者: Selver Softic , Laurens De Vocht , Erik Mannens , Rik Van de Walle , Martin Ebner
DOI: 10.1007/978-3-319-07485-6_48
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摘要: Researcher community produces a vast of content on the Web. We assume that every researcher interest oneself in events, persons and findings other related members who share same interest. Although research archives give access to their most them lack analytic services adequate visualizations for this data. This work resides our previous achievements[1,2,3,4] we made semantically Linked Data driven search user interfaces Research 2.0. show how researchers can find visually explore commonalities between each within domain, by introducing matter interface “ResXplorer”, underlying infrastructure operating over Knowledge Base resources. discuss test important components “ResXplorer” relevant detecting researchers, closing up with conclusions outlook future work.