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ResXplorer : revealing relations between resources for researchers in the web of data

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Abstract
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.
Keywords
Exploratory Search, Social Media, Digital Libraries, Research Collaboration Tools, Science 2.0, Web of Data, Linked Data

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Citation

Please use this url to cite or link to this publication:

MLA
De Vocht, Laurens et al. “ResXplorer : Revealing Relations Between Resources for Researchers in the Web of Data.” COMPUTER SCIENCE AND INFORMATION SYSTEMS 14.1 (2017): 25–50. Print.
APA
De Vocht, L., Softic, S., Verborgh, R., Mannens, E., & Ebner, M. (2017). ResXplorer : revealing relations between resources for researchers in the web of data. COMPUTER SCIENCE AND INFORMATION SYSTEMS, 14(1), 25–50.
Chicago author-date
De Vocht, Laurens, Selver Softic, Ruben Verborgh, Erik Mannens, and Martin Ebner. 2017. “ResXplorer : Revealing Relations Between Resources for Researchers in the Web of Data.” Computer Science and Information Systems 14 (1): 25–50.
Chicago author-date (all authors)
De Vocht, Laurens, Selver Softic, Ruben Verborgh, Erik Mannens, and Martin Ebner. 2017. “ResXplorer : Revealing Relations Between Resources for Researchers in the Web of Data.” Computer Science and Information Systems 14 (1): 25–50.
Vancouver
1.
De Vocht L, 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. 2017;14(1):25–50.
IEEE
[1]
L. De Vocht, S. Softic, R. Verborgh, E. Mannens, and M. Ebner, “ResXplorer : revealing relations between resources for researchers in the web of data,” COMPUTER SCIENCE AND INFORMATION SYSTEMS, vol. 14, no. 1, pp. 25–50, 2017.
@article{8540824,
  abstract     = {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.},
  author       = {De Vocht, Laurens and Softic, Selver and Verborgh, Ruben and Mannens, Erik and Ebner, Martin},
  issn         = {1820-0214},
  journal      = {COMPUTER SCIENCE AND INFORMATION SYSTEMS},
  keywords     = {Exploratory Search,Social Media,Digital Libraries,Research Collaboration Tools,Science 2.0,Web of Data,Linked Data},
  language     = {eng},
  number       = {1},
  pages        = {25--50},
  title        = {ResXplorer : revealing relations between resources for researchers in the web of data},
  url          = {http://dx.doi.org/10.2298/CSIS151028031D},
  volume       = {14},
  year         = {2017},
}

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