Information cartography

Abstract

A metro map can tell a story, as well as provide good directions.

References

1. Ahmed, A., Ho, Q., Eisenstein, J., Xing, E., Smola, A.J., and Teo, C.H. Unified analysis of streaming news. In Proceedings of the 20^th International Conference on the World Wide Web (Hyderabad, India, Mar. 28-Apr. 1). ACM Press, New York, 2011.
2. Allan, J., Gupta, R., and Khandelwal, V. Temporal summaries of new topics. In Proceedings of the 24^th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (New Orleans, LA, Sept. 9-13). ACM Press, New York, 2001.
3. Bloom, B.S., Engelhart, M.D., Furst, E.J., and Hill, W.H., Eds. Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain. Longman, White Plains, NY, 1956.
4. Borner. K. Atlas of Science: Visualizing What We Know. MIT Press, Cambridge, MA, 2010.
5. Boyack, K.W. and Klavans, R. Creation of a highly detailed, dynamic, global model and map of science. Journal of the Association for Information Science and Technology 65, 4 (Apr. 2014), 670--685.
6. Braam, R.R., Moed, H.F., and Van Raan, A.F. Mapping of science by combined co-citation and word analysis, I: Structural aspects. Journal of the Association for Information Science and Technology 42, 4 (May 1991), 233--251.
7. Broder, A. A taxonomy of Web search. ACM SIGIR Forum 36, 2 (Sept. 2002), 3--10.
8. Chen, C. Citespace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the Association for Information Science and Technology 57, 3 (Feb. 2006), 359--377.
9. Druck, G., Mann, G., and McCallum, A. Learning from labeled features using generalized expectation criteria. In Proceedings of the 31^st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Singapore, July 20-24). ACM Press, New York, 2008.
10. Faloutsos, C., McCurley, K.S., and Tomkins, A. Fast discovery of connection subgraphs. In Proceedings of the 10^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Seattle, WA, Aug. 22-25). ACM Press, New York, 2004.
11. Farrand, P., Hussain, F., and Hennessy, E. The efficacy of the 'mind map' study technique. Medical Education 36, 5 (May 2002), 426--431.
12. Fox, E.A., Neves, F.D., Yu, X., Shen, R., Kim, S., and Fan, W. Exploring the computing literature with visualization and stepping stones and pathways. Commun. ACM 49, 4 (Apr. 2006), 52--58.
13. Garfield, E. and Pudovkin, A.I. The histcite system for mapping and bibliometric analysis of the output of searches using the ISI Web of Knowledge. In Proceedings of the 67^th Annual Meeting of the American Society for Information Science and Technology (Providence, RI, Nov. 12-17). Association for Information Science and Technology, Silver Spring, MD, 2004.
14. Gillenwater, J., Kulesza, A., and Taskar, B. Discovering diverse and salient threads in document collections. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (Jeju Island, Korea, July 12-14). Association for Computational Linguistics, Stroudsburg, PA, 2012, 710--720.
15. Hall, R.H. and O'Donnell, A. Cognitive and affective outcomes of learning from knowledge maps. Contemporary Educational Psychology 21, 1 (Jan. 1996), 94--101.
16. Hossain, M.S., Gresock, J., Edmonds, Y., Helm, R., Potts, M., and Ramakrishnan, N. Connecting the dots between PubMed abstracts. PloS One 7, 1 (Jan. 2012), e29509.
17. Jo, Y., Hopcroft, J.E., and Lagoze, C. The web of topics: discovering the topology of topic evolution in a corpus. In Proceedings of the 20^th International Conference on the World Wide Web (Hyderabad, India, Mar. 28-Apr. 1). ACM Press, New York, 2011, 257--266.
18. Kleinberg, J. Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery 7, 4 (Oct. 2003), 373--397.
19. Nallapati, R., Feng, A., Peng, F., and Allan, J. Event threading within news topics. In Proceedings of the 13^th ACM International Conference on Information and Knowledge Management (Washington, D.C., Nov. 8-13). ACM Press, New York, 2004, 446--453.
20. Nenkova, A. and McKeown, K. A survey of text summarization techniques. In Mining Text Data, C.C. Aggarwal and C. Zhai, Eds. Springer, 2012, 43--76.
21. Nesbitt, K. Getting to more abstract places using the metro map metaphor. In Proceedings of the Eighth International Conference on Information Visualisation (London, U.K., July 14-16). IEEE, 2004, 488--493.
22. Radev, D., Otterbacher, J., Winkel, A., and Blair-Goldensohn, S. Newsinessence: Summarizing online news topics. Commun. ACM 48, 10 (Oct. 2005), 95--98.
23. Rewey, K.L., Dansereau, D.F., and Peel, J.L. Knowledge maps and information processing strategies. Contemporary Educational Psychology 16, 3 (July 1991), 203--214.
24. Shahaf, D. and Guestrin, C. Connecting the dots between news articles. In Proceedings of the 16^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Washington, D.C., July 25-28). ACM Press, New York, 2010.
25. Shahaf, D., Guestrin, C., and Horvitz, E. Metro maps of science. In Proceedings of the 18^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Beijing, China, Aug. 12-16). ACM Press, New York, 2012.
26. Shahaf, D., Guestrin, C., and Horvitz, E. Trains of thought: Generating information maps. In Proceedings of the 21^st International Conference on the World Wide Web (Lyon, France, Apr. 16-20). ACM Press, New York, 2012, 899--908.
27. Shahaf, D., Yang, J., Suen, C., Jacobs, J., Wang, H., and Leskovec, J. Information cartography: Creating zoomable, large-scale maps of information. In Proceedings of the 19^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Chicago, IL, Aug. 11-14). ACM Press, New York, 2013, 1097--1105.
28. Swan, R. and Jensen, D. TimeMines: Constructing timelines with statistical models of word usage. In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Boston, MA, Aug. 20-23). ACM Press, New York, 2000.
29. Yan, R., Wan, X., Otterbacher, J., Kong, L., Li, X., and Zhang, Y. Evolutionary timeline summarization: A balanced optimization framework via iterative substitution. In Proceedings of the 34^th International ACM SIGIR Conference on Research and Development in Information Retrieval (Beijing, China, July 24-28). ACM Press, New York, 2011, 745--754.
30. Yang, Y., Ault, T., Pierce, T., and Lattimer, C. Improving text categorization methods for event tracking. In Proceedings of the 23^rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Athens, Greece, July 24-28). ACM Press, New York, 2000, 65--72.
31. Yang, Y., Carbonell, J., Brown, R., Pierce, T., Archibald, B., and Liu, X. Learning approaches for detecting and tracking news events. IEEE Intelligent Systems 14, 4 (July/Aug. 1999), 32--43.

Index Terms

• Applied computing

  • Document management and text processing

    • Document preparation

      • Multi / mixed media creation

• Human-centered computing

  • Collaborative and social computing

    • Collaborative and social computing systems and tools

  • Human computer interaction (HCI)

    • Interaction paradigms

      • Hypertext / hypermedia

• Information systems

  • Information retrieval

  • Information storage systems

  • World Wide Web

• Software and its engineering

  • Software notations and tools

    • General programming languages

      • Language features

        • Data types and structures