Structuring Japanese Regional Information Gathered from the Web as Linked Open Data for Use in Concern Assessment

  • Shun Shiramatsu
  • Robin M. E. Swezey
  • Hiroyuki Sano
  • Norifumi Hirata
  • Tadachika Ozono
  • Toramatsu Shintani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7444)


We are developing an eParticipation web platform based on Linked Open Data that targets regional communities in Japan. To increase transparency and public participation, we aim to utilize web contents related to target regions for sharing public concerns among citizens, government officials, and experts. We have designed a Linked Open Data set called SOCIA (Social Opinions and Concerns for Ideal Argumentation) to structure regional web contents (e.g. regional news articles, microblog posts, and minutes of city council meetings) and utilize them for eParticipation and concern assessment. The web contents are semi-automatically structured by our text mining system, Sophia, on the basis of regions and events extracted from news articles on the web. Minutes of city council meetings stored in SOCIA are annotated with discourse salience in order to visualize topic transitions in a meeting transcript. We also developed a prototype debate support system called citispe@k that uses SOCIA to help citizens share their concerns. Users can submit agendas, ideas, questions, and answers by referencing the structured regional information in SOCIA. Moreover, they can annotate SOCIA data with tags representing criteria for assessing concerns or utterance intentions.


Linked Open Data concern assessment information structuring public involvement 


  1. 1.
    Jeong, H., Hatori, T., Kobayashi, K.: Discourse analysis of public debates: A corpus-based approach. In: Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics, pp. 1782–1793 (2007)Google Scholar
  2. 2.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011)Google Scholar
  3. 3.
    Höchtl, J., Reichstädter, P.: Linked Open Data - A Means for Public Sector Information Management. In: Andersen, K.N., Francesconi, E., Grönlund, Å., van Engers, T.M. (eds.) EGOVIS 2011. LNCS, vol. 6866, pp. 330–343. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Howard, A.: White house to open source as open government data platform (2011),
  5. 5.
    ISA: Improving semantic interoperability in european egovernment systems (2011),
  6. 6.
    METI Japan: Open government laboratory to launch the “apps for japan” project (2011),
  7. 7.
    Benn, N., Macintosh, A.: Argument Visualization for eParticipation: Towards a Research Agenda and Prototype Tool. In: Tambouris, E., Macintosh, A., de Bruijn, H. (eds.) ePart 2011. LNCS, vol. 6847, pp. 60–73. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Jeong, H., Shiramatsu, S., Hatori, T., Kobayashi, K.: Discourse analysis of public debates using corpus linguistic methodologies. Journal of Computers 3(8), 58–68 (2008)CrossRefGoogle Scholar
  9. 9.
    Kirschner, P., Shum, S., Carr, C.: Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making. Springer (2003)Google Scholar
  10. 10.
    Selvin, A., Shum, S.: Hypermedia as a productivity tool for doctoral research. New Review of Hypermedia and Multimedia, Special Issue on Scholarly Hypermedia 11(1), 91–101Google Scholar
  11. 11.
    Liddo, A.D., Shum, S.B.: Cohere: A prototype for contested collective intelligence. In: Workshop on Collective Intelligence in Organizations: Toward a Research Agenda. ACM Computer Supported Cooperative Work (2010)Google Scholar
  12. 12.
    Iandoli, L., Klein, M., Zolla, G.: Enabling online deliberation and collective decision making through large-scale argumentation: A new approach to the design of an internet-based mass collaboration platform. International Journal of Decision Support System Technology 1(1), 69–92 (2009)CrossRefGoogle Scholar
  13. 13.
    Reed, C., Rowe, G.: Araucaria: Software for argument analysis, diagramming and representation. International Journal of AI Tools 13(4), 961–980 (2004)CrossRefGoogle Scholar
  14. 14.
    Kamimaeda, N., Izumi, N., Hasida, K.: Evaluation of Participants’ Contributions in Knowledge Creation Based on Semantic Authoring. The Learning Organization 14(3), 263–280 (2007)CrossRefGoogle Scholar
  15. 15.
    Hasida, K.: Semantic Authoring and Semantic Computing. In: Sakurai, A., Hasida, K., Nitta, K. (eds.) JSAI 2003. LNCS (LNAI), vol. 3609, pp. 137–149. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  16. 16.
    van den Braak, S.W., van Oostendorp, H., Prakken, H., Vreeswijk, G.A.W.: A critical review of argument visualization tools: Do users become better reasoners? In: Workshop Notes of the ECAI 2006 Workshop on CMNA, pp. 67–75 (2006)Google Scholar
  17. 17.
    Shiramatsu, S., Komatani, K., Ogata, T., Okuno, H.G.: SalienceGraph: Visualizing Salience Dynamics of Written Discourse by Using Reference Probability and PLSA. In: Ho, T.-B., Zhou, Z.-H. (eds.) PRICAI 2008. LNCS (LNAI), vol. 5351, pp. 890–902. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  18. 18.
    Rennie, J., Shih, L., Teevan, J., Karger, D.: Tackling the poor assumptions of naive bayes text classifiers. In: Proceedings of the 20th International Conference on Machine Learning, pp. 616–623 (2003)Google Scholar
  19. 19.
    Swezey, R., Sano, H., Shiramatsu, S., Ozono, T., Shintani, T.: Automatic detection of news articles of interest to regional communities. To appear in: International Journal of Computer Science and Network Security 12(6) (2012)Google Scholar
  20. 20.
    Swezey, R., Sano, H., Hirata, N., Shiramatsu, S., Ozono, T., Shintani, T.: An e-participation support system for regional communities based on linked open data, classification and clustering. To appear in: Proceedings of the 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (2012)Google Scholar
  21. 21.
    Shiramatsu, S., Komatani, K., Hasida, K., Ogata, T., Okuno, H.G.: A Game-Theoretic Model of Referential Coherence and Its Empirical Verification Using Large Japanese and English Corpora. ACM Transactions on Speech and Language Processing 5(3), Article 6 (2008)Google Scholar
  22. 22.
    Shneiderman, B.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 3rd edn. Pearson Addison Wesley (1998)Google Scholar
  23. 23.
    MacLean, A., Young, R., Bellotti, V., Moran, T.: Questions, options, and criteria: elements of design space analysis. Human Compututer Interaction 6(3), 201–250 (1991)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Shun Shiramatsu
    • 1
  • Robin M. E. Swezey
    • 1
  • Hiroyuki Sano
    • 1
  • Norifumi Hirata
    • 1
  • Tadachika Ozono
    • 1
  • Toramatsu Shintani
    • 1
  1. 1.Graduate School of EngineeringNagoya Institute of TechnologyJapan

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