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Otowik: Mining Text from Wikis to Mind Maps

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Learning Technology for Education Challenges (LTEC 2019)

Abstract

The impact of the Internet on education has been recognized for decades in which learners or students are able to access educational resources cross borders and languages. However, exposure to or provision of too much information or data will lead to information overload, which dampens understanding and effective decision making. In this paper, we share a software named Otowik that is able to extract keywords and keyphrases from wiki pages and automatically construct a mind map based on the keywords and keyphrases extracted. Otowik was evaluated via a User Acceptance Test and was highly recommended by the participating respondents.

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References

  1. Mioduser, D., Nachmias, R., Tubin, D., Forkosh-Baruch, A.: Models of pedagogical implementation of ICT in Israeli schools. J. Comput. Assist. Learn. 18(4), 405–414 (2002)

    Article  Google Scholar 

  2. Davinson, N., Sillence, E.: It won’t happen to me: promoting secure behaviour among internet users. Comput. Hum. Behav. 26(6), 1739–1747 (2010)

    Article  Google Scholar 

  3. Brailas, A., Koskinas, K., Dafermos, M., Alexias, G.: Wikipedia in education: acculturation and learning in virtual communities. Learning, Culture and Social Interaction 1(7), 59–70 (2015)

    Article  Google Scholar 

  4. Krug, S.: Don’t Make Me Think: A Common Sense Approach to the Web, 2nd edn. New Riders, San Francisco (2005)

    Google Scholar 

  5. Buzan, T.: Mind Maps for Kids: Max Your Memory and Concentration. Harper Collins, New York (2005)

    Google Scholar 

  6. Toi, H.: Research on how mind map improves memory. In: International Conference on Thinking, Kuala Lumpur, Malaysia (2009)

    Google Scholar 

  7. Moi, W.A., Lian, O.L.: Introducing mind map in comprehension. In: Annual Meeting of the Redesigning Pedagogy International Conferences: Culture, Knowledge and Understanding (2007)

    Google Scholar 

  8. Kaushik, A., Naithani, S.A.: Comprehensive study of text mining approach. Int. J. Comput. Sci. Netw. Secur. 16(2), 69 (2016)

    Google Scholar 

  9. Radovanovic, M., Ivanovic, M.: Text mining: approaches and applications. Novi Sad J. Math. 38(3), 227–234 (2008)

    MATH  Google Scholar 

  10. Tsai, F.S.: A tag-topic model for blog mining. Expert Syst. Appl. 38(5), 5330–5335 (2011)

    Article  Google Scholar 

  11. Frank, E., Chui, C., Witten, I.H.: Text categorization using compression models

    Google Scholar 

  12. Saggion, H., Poibeau, T.: Automatic text summarization: past, present and future. In: Poibeau, T., Saggion, H., Piskorski, J., Yangarber, R. (eds) Multi-source, Multilingual Information Extraction and Summarization, Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-28569-1_1

    Google Scholar 

  13. Aggarwal, C.C., Zhai, C. (eds.): Mining Text Data. Springer Science & Business Media, Berlin (2012)

    Google Scholar 

  14. Kasinathan, V., Mustapha, A., Murad, M.A.A., Rahmat, R.W., Mansor, E.I.: Presentation mining tool: from slides to mind maps. Information 19(7B), 3003 (2016)

    Google Scholar 

  15. Kasinathan, V., Mustapha, A., Murad, M.A.A., Rahmat, R.W., Mansor, E.I.: The mechanics of the presentation mining framework. Jurnal Teknologi 78(8–2), 80–88 (2016)

    Google Scholar 

  16. Kudelic, R., Malekovic, M., Lovrencic, A.: Mind map generator software. In: 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE), 3, pp. 123–127 (2012)

    Google Scholar 

  17. Kudelic, R., Konecki, M., Malekovic, M.: Mind map generator software model with text mining algorithm. In: Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces (ITI), pp. 487–494 (2011)

    Google Scholar 

  18. Ingersoll, G.S., Morton, T.S., Farris, A.L.: Taming Text: How to Find, Organize, and Manipulate It. Manning Publications Co., Shelter Island (2013)

    Google Scholar 

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Acknowledgement

This research is supported by Asia Pacific University of Technology and Innovation.

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Kasinathan, V., Mustapha, A., Abdul Rani, M.F.C. (2019). Otowik: Mining Text from Wikis to Mind Maps. In: Uden, L., Liberona, D., Sanchez, G., Rodríguez-González, S. (eds) Learning Technology for Education Challenges. LTEC 2019. Communications in Computer and Information Science, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-20798-4_3

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  • DOI: https://doi.org/10.1007/978-3-030-20798-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20797-7

  • Online ISBN: 978-3-030-20798-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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