Abstract
Despite the large number and variety of tools and services available today for exploring scholarly data, current support is still very limited in the context of sensemaking tasks, which go beyond standard search and ranking of authors and publications, and focus instead on i) understanding the dynamics of research areas, ii) relating authors ‘semantically’ (e.g., in terms of common interests or shared academic trajectories), or iii) performing fine-grained academic expert search along multiple dimensions. To address this gap we have developed a novel tool, Rexplore, which integrates statistical analysis, semantic technologies, and visual analytics to provide effective support for exploring and making sense of scholarly data. Here, we describe the main innovative elements of the tool and we present the results from a task-centric empirical evaluation, which shows that Rexplore is highly effective at providing support for the aforementioned sensemaking tasks. In addition, these results are robust both with respect to the background of the users (i.e., expert analysts vs. ‘ordinary’ users) and also with respect to whether the tasks are selected by the evaluators or proposed by the users themselves.
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Dunne, C., Shneiderman, B., Gove, R., Klavans, J., Dorr, B.: Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization. American Society for Inf. Science and Technology 63(12), 2351–2369 (2012)
Motta, E., Osborne, F.: Making Sense of Research with Rexplore. In: 11th Int. Semantic Web Conference, Poster&Demo Session, Boston, MA (2012)
Diederich, J., Balke, W.T., Thaden, U.: Demonstrating the Semantic Growbag: Automatically Creating Topic Facets for FacetedDBLP. In: Proceeding of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (2007)
Li, H., Councill, I., Lee, W.C., Giles, C.L.: CiteSeerx: an architecture and web service design for an academic document search engine. In: Proceedings of the 15th Int. Conference on the World Wide Web, pp. 883–884 (2006)
Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: extraction and mining of academic social networks. In: Proceeding of the 14th Int. Conference on Knowledge Discovery and Data Mining, pp. 990–998 (2008)
Monaghan, F., Bordea, G., Samp, K., Buitelaar, P.: Exploring Your Research: Sprinkling some Saffron on Semantic Web Dog Food. In: Semantic Web Challenge at the International Semantic Web Conference (2010)
Möller, K., Heath, T., Handschuh, S., Domingue, J.: Recipes for semantic web dog food—The ESWC and ISWC metadata projects. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 802–815. Springer, Heidelberg (2007)
Yee, P., Swearingen, K., Li, K., Hearst, M.: Faceted Metadata for Image Search and Browsing. In: Proceedings of CHI 2003, pp. 401–408. ACM (2003)
Hildebrand, M., van Ossenbruggen, J., Hardman, L.: /facet: A browser for heterogeneous semantic web repositories. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 272–285. Springer, Heidelberg (2006)
Schraefel, M.C., Wilson, M., Russell, A., Smith, D.A.: mSpace: improving information access to multimedia domains with multimodal exploratory search. Communications of the ACM 49(4), 47–49 (2006)
Popov, I.O., Schraefel, M.C., Hall, W., Shadbolt, N.: Connecting the dots: a multi-pivot approach to data exploration. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 553–568. Springer, Heidelberg (2011)
Bergstrom, P., Atkinson, D.C.: Augmenting the exploration of digital libraries with web-based visualizations. In: ICDIM 2009. IEEE (2009)
Osborne, F., Motta, E.: Mining semantic relations between research areas. In: Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 410–426. Springer, Heidelberg (2012)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., et al.: DBpedia-A crystallization point for the Web of Data. Journal of Web Semantics 7(3), 154–165 (2009)
Osborne, F., Motta, E.: Exploring Research Trends with Rexplore. D-Lib Magazine 19(9/10) (2013)
Brooke, J.: SUS: A “quick and dirty” usability scale. In: Jordan, P.W., et al. (eds.) Usability Evaluation in Industry, pp. 189–194. Taylor & Francis, London (1996)
Motta, E., Peroni, S., Gómez-Pérez, J.M., d’Aquin, M., Li, N.: Visualizing and Navigating Ontologies with KC-Viz. In: Proceedings of the 10th Int. Semantic Web Conference, pp. 343–362. Springer (2011)
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Osborne, F., Motta, E., Mulholland, P. (2013). Exploring Scholarly Data with Rexplore. In: Alani, H., et al. The Semantic Web – ISWC 2013. ISWC 2013. Lecture Notes in Computer Science, vol 8218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41335-3_29
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DOI: https://doi.org/10.1007/978-3-642-41335-3_29
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