ResXplorer: Revealing Relations between Resources for Researchers in the Web of Data

Laurens De Vocht1, Selver Softic2, Ruben Verborgh1, Erik Mannens1 and Martin Ebner2

  1. iMinds - Data Science Lab, Ghent University
    Sint-Pietersnieuwstraat 41 B1 9000 Ghent, Belgium
  2. Institute for Information Systems and Computer Media, Graz University of Technology
    Inffeldgasse 16c 8010 Graz, Austria


Recent developments on sharing research results and ideas on the Web, such as research collaboration platforms like Mendeley or ResearchGate, enable novel ways to explore research information. Current search interfaces in this field focus mostly on narrowing down the search scope through faceted search, keyword matching, or filtering. The interactive visual aspect and the focus on exploring relationships between items in the results has not sufficiently been addressed before. To facilitate this exploration, we developed ResXplorer, a search interface that interactively visualizes linked data of research-related sources. By visualizing resources such as conferences, publications and proceedings, we reveal relationships between researchers and those resources.We evaluate our search interface by measuring how it affects the search productivity of targeted lean users. Furthermore, expert users reviewed its information retrieval potential and compared it against both popular academic search engines and highly specialized academic search interfaces. The results indicate how well lean users perceive the system and expert users rate it for its main goal: revealing relationships between resources for researchers.

Key words

Exploratory Search; Social Media; Digital Libraries; Research Collaboration Tools; Science 2.0; Web of Data; Linked Data

Digital Object Identifier (DOI)

Publication information

Volume 14, Issue 1 (January 2017)
Year of Publication: 2017
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Vocht, L. D., Softic, S., Verborgh, R., Mannens, E., Ebner, M.: ResXplorer: Revealing Relations between Resources for Researchers in the Web of Data. Computer Science and Information Systems, Vol. 14, No. 1, 25–50. (2017),