Skip to main content
SpringerLink
Log in

Ubiquitous Personal Study: a framework for supporting information access and sharing

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

The information resources on the Web are diversified, the amount of which is increasing rapidly. Demands for selecting useful information from the Internet, managing personal contents, and sharing contents under control have risen. In this study, we propose the Ubiquitous Personal Study, a framework of personalized virtual study to support accessing, managing, organizing, sharing and recommending information. In this paper, we focus on discussing the framework, and design and implementation issues on how to implement it with Web 2.0 mash-up technology and Open Source Software.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. http://amazon.com .

  2. http://www.google.com/ .

  3. http://www.twittter.com/ .

  4. http://www.moodle.org/.

  5. http://hondana.org/.

  6. http://www.google.co.jp/ig.

  7. http://www.imdb.com/.

  8. http://en.wikipedia.org/wiki/CDDB.

  9. http://www.cmsmatrix.org/matrix/cms-matrix.

  10. http://wordpress.org/.

  11. http://www.xoops.org/.

  12. http://plone.org/.

  13. http://del.icio.us.

  14. http://gears.google.com/.

References

  1. Chen H, Jin Q (2006) Ubiquitous Personal Study: learning and information access support through cross social network services. In: Proceedings of ICCE2006 MULE workshop, Beijing, China

  2. Granovetter M (1983) The strength of weak ties: a network theory revisited. Sociological theory, vol 1. State University of New York, Stony Brook, pp 201–233

  3. Ankolekar A et al. (2007) The two cultures: mashing up Web 2.0 and the semantic web. In: Proceedings of WWW2007, pp 825–834, Alberta, Canada

  4. Floyd IR, Cameron Jones M, Rathi D, Twidale MB (2007) Web mash-ups and patchwork prototyping: user-driven technological innovation with Web 2.0 and open source software. In: Proceedings of HICSS2007, pp 86–86

  5. Ishikawa M, Morita T, Izumi N, Yamaguchi T (2007) Content portal recommendation engine based on access log analysis. In: Proceeding of JSAI2007, Miyazaki, Japan

  6. Kyosuke K, Koichi Y, Hiroshi K, Hiroshi N (2005) A web contents recommendation system based on collaborative filtering by using bloggers’ interests. In: Proceedings of FIT2006, Kitakyusyu, Japan

  7. Doi S, Yoshida Y, Higashino S (2004) RUI-filtering: a content-based collaborative filtering algorithm using the access log of related items. In: Proceedings of DEWS2004, Mie, Japan

  8. Bao S et al. (2007) Optimizing web search using social annotations. In: Proceedings of WWW2007, pp 501–510, Alberta, Canada

  9. Singla P, Richardson M (2008) Yes, there is a correlation—from social networks to personal behavior on the Web. In: Proceedings of WWW2008, pp 655–664, Beijing, China

  10. Vuorikari R, Manouselis N, Duval E (2008) Metadata for social recommendations: storing, sharing, and reusing evaluations of learning resources. In: Goh D, Foo S (eds) Social information retrival systems: emerging technologies and applications for searching the web effectively, pp 87–107. IGI Global

  11. Li X, Guo L, Zhao YE (2008) Tag-based social interest discovery. In: Proceedings of WWW2008, pp 675–684, Beijing, China

  12. Kim P, Podlaseck M, Pingali G (2004) Personal chronicling tools for enhancing information archival and collaboration in enterprises. In: Proceedings of 1st ACM workshop on continuous archival and retrieval of personal experience, pp 56–65

  13. Golder S, Huberman BA (2008) The structure of collaborative tagging systems. Available at http://arxiv.org/ftp/cs/papers/0508/0508082.pdf, accessed 9 May 2008

  14. Hildebrandt M, Gutwirth S (eds) (2008) Profiling the European citizen: cross-disciplinary perspectives. Springer, Heidelberg

  15. Ahn J-W et al. (2007) Open user profiles for adaptive news systems: help or harm? In: Proceedings of WWW2007, pp 11–20, Alberta, Canada

  16. Semeraro G et al. (2007) Discovering user profiles from semantically indexed scientific papers. In: Carbonell JG, Siekmann J (eds) FromWeb to SocialWeb: discovering and deploying user and content profiles. Lecture notes in artificial intelligence, vol 4737. Springer, Heidelberg, pp 61–81

  17. vCard: RFC 2425, http://rfc.net/rfc2425.html, RFC 2426, http://rfc.net/rfc2426.html

  18. http://gmpg.org/xfn Accessed 9 May 2008

  19. OpenID: http://openid.net/what/. Accessed 9 May 2008

  20. Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput 7(1):76–80

    Article  Google Scholar 

Download references

Acknowledgments

The work has been partly supported by 2007/2008 Waseda University Grants for Special Research Projects No. 2007B-223, No. 2007B-224 and No. 2008B-228, 2007–2009 Waseda University Advanced Research Center for Human Sciences Project (Seeds-Type) “Learning Sciences,” and 2007–2009 Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (A) No. 19200055.

Author information

Authors and Affiliations

  1. Department of Human Informatics and Cognitive Sciences, Waseda University, Saitama, Japan

    Hong Chen & Qun Jin

Authors
  1. Hong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qun Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qun Jin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, H., Jin, Q. Ubiquitous Personal Study: a framework for supporting information access and sharing. Pers Ubiquit Comput 13, 539–548 (2009). https://doi.org/10.1007/s00779-009-0221-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-009-0221-z

Keywords

Search

Navigation