ResXplorer: Revealing relations between resources for researchers in the Web of Data

Laurens De Vocht, Softic Selver, Ruben Verborgh, Erik Mannens, Martin Ebner

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Number of pages25
JournalComputer Science and Informations Systems
Publication statusPublished - 27 Oct 2016

Fields of Expertise

  • Information, Communication & Computing

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