作者: Laurens De Vocht , Selver Softic , Erik Mannens , Martin Ebner , Rik Van de Walle
关键词: Point (typography) 、 Linked data 、 Research data 、 Semantic Web 、 World Wide Web 、 Semantic technology 、 Computer science 、 Social media
摘要: Resources for research are not always easy to explore, and rarely come with strong support identifying, linking selecting those that can be of interest scholars. In this work we introduce a model uses state-of-the-art semantic technologies interlink structured data from Web collaboration tools, social media Linked Open Data. We use build platform connects scholars, using their profiles as starting point explore novel relevant content research. Scholars easily adapt evolving trends by synchronizing new accounts or tools integrate then datasets. evaluate our approach scenario personalized exploration repositories where analyze real world scholar compare them reference profile.