• Number of publications over time in some sub-areas of the Semantic Web

    Rexplore allows users to analyse the sub-topics of a research area and their trends. This snapshot shows the number of publications over time in selected sub-areas of the Semantic Web. The window pane in the bottom-left corner shows a section of the Klink-generated semantic network of research areas.

  • Number of publications over time in some sub-areas of the Semantic Web

    Rexplore is able to detect author migrations across research areas. This snapshot shows the main research areas which have provided researchers to the Semantic Web area. As shown in the histogram, most researchers came to the Semantic Web area from a knowledge-based system background, up until 2010, when Data Mining became the main 'feeder area'.

  • Number of publications over time in some sub-areas of the Semantic Web

    Users can visualise the activity of an author over time in selected topics, with different levels of granularity. This snapshot shows the activity of Prof James Hendler in a number of areas over a 20-year period.

  • Number of publications over time in some sub-areas of the Semantic Web

    Rexplore provides powerful query/search facilities, supporting complex multi-dimensional queries that can include logical connectives. This snapshot shows the authors with less than 15-years' experience (from first publication), ranked in terms of their number of publications in HCI and Semantic Web. A harmonic mean measure is used to avoid a skewed ranking and an additional filter rules out authors with no publications in ISWC and CHI.

  • Number of publications over time in some sub-areas of the Semantic Web

    Rexplore takes advantage of the fine-grained semantic characterization of authors and topics, to introduce novel relationships between authors, e.g., to identify authors with similar research trajectories (i.e., authors who over time share the same research interests). This snapshot shows the authors whose research trajectories are most similar to that of Enrico Motta. The diameter of the nodes reflects the number of publications in the Semantic Web of the associated authors.

  • Number of publications over time in some sub-areas of the Semantic Web

    Rexplore can identify different kinds of groups of researchers, including organizations, countries and topic-based research communities. These groups can then be analysed using a variety of visualisations to highlight trends and relationships. This snapshot shows the main organizations which have collaborated with the Open University in the Semantic Web area (in terms of joint publications on this topic).

  • Number of publications over time in some sub-areas of the Semantic Web

    Rexplore implements novel algorithms to automatically detect topic-based research communities. This snapshot displays the main research communities in the Semantic Web in the 2006-2008 timeframe and their most prominent authors. Thus, users can analyse both the evolution over time of research communities and their most significant 'players', in terms of researchers, organisations or countries.

  • Number of publications over time in some sub-areas of the Semantic Web

    The graph view in Rexplore offers a powerful set of filters for advanced search. In this snapshot we can see the network of career-young authors (10 years from first publication or less), who have worked with Enrico Motta on Machine Learning.