Skip to main content

Method for Re-finding Mobile Phone Documents Based on Feature Knowledge Graph

  • Conference paper
  • First Online:
Web and Big Data. APWeb-WAIM 2020 International Workshops (APWeb-WAIM 2020)

Abstract

People often need to find documents that previously saved on their mobile phones. When searching a document, sometimes people cannot recall the exact name of it, but can remember some objects in it, such as the figures, tables or formulas in the documents, the source of the documents, or related topics.  And the existing mobile phone document management software cannot associate the content of the document with itself. Therefore, how to extract document information into attributes tags to associate them with documents and how to re-find the expected documents based on these tags are practical and valuable. This paper proposes a method for re-finding mobile phone documents based on feature knowledge graph. First, we use four features to describe the documents and extract tags to form attributes. Then we link the attributes with the documents to form the document knowledge graph and propose a calculation algorithm of the four tags’ weight. Finally, we propose the sorting and re-finding method based on the feature knowledge graph. By using personal mobile phones data, the experiment results verify the effectiveness and efficiency of this method.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Stryjak, J., Sivakumaran, M.: The Mobile Economy 2019. GSMA Intelligence, Barcelona (2019)

    Google Scholar 

  2. 2016 Mobile Office Panorama Report (in Chinese). Mobile Information Researching Center, China (2016)

    Google Scholar 

  3. Tauscher, L., Greenberg, S.: Revisitation patterns in world wide web navigation. In: CHI97: ACM Conference on Human Factors & Computing Systems, pp. 3–10. Association for Computing Machinery, New York (1997)

    Google Scholar 

  4. Do, T.V., Ruddle, R.A.: The design of a visual history tool to help users refind information within a website. In: Baeza-Yates, R., et al. (eds.) ECIR 2012. LNCS, vol. 7224, pp. 459–462. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28997-2_41

    Chapter  Google Scholar 

  5. Tangjian, D., Liang, Z., et al.: ReFinder: a context-based information refinding system. IEEE Trans. Knowl. Data Eng. 25, 2119–2132 (2013)

    Article  Google Scholar 

  6. Xuan, L.: Design and Implementation of Personal Knowledge Management Platform Based on Knowledge Graph. Beijing University of Posts and Telecommunications, Beijing (2018)

    Google Scholar 

  7. Yan, L.: Study on the Fragmentation Knowledge Management Based on Knowledge Map in Mobile Learning. Sichuan Normal University, Sichuan (2018)

    Google Scholar 

  8. Liu, G., Feng, L.: A method to support difficult re-finding tasks. Journal 02, 15–19 (2016)

    Google Scholar 

  9. Wikipedia Forgetting_curve. https://en.wikipedia.org/wiki/Forgetting_curve. Accessed 15 May 2020

  10. Baadte, C., Bozana, M.: The picture superiority effect in associative memory: a developmental study. Br. J. Dev. Psychol. 37(3), 382–395 (2019)

    Article  Google Scholar 

  11. Qian, S., Zhang, T., Xu, C.: Boosted multi-modal supervised latent Dirichlet allocation for social event classification. In: International Conference on Pattern Recognition, pp. 1999–2004. IEEE (2014)

    Google Scholar 

  12. GuoYin, W., Hong, Y., DaChun, Y.: Decision table reduction based on conditional information entropy. J. Comput. Chin. Ed. 25(07), 759–766 (2007)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, J., Li, Y., Zhang, Y., Ye, Y. (2021). Method for Re-finding Mobile Phone Documents Based on Feature Knowledge Graph. In: Chen, Q., Li, J. (eds) Web and Big Data. APWeb-WAIM 2020 International Workshops. APWeb-WAIM 2020. Communications in Computer and Information Science, vol 1373. Springer, Singapore. https://doi.org/10.1007/978-981-16-0479-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-0479-9_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0478-2

  • Online ISBN: 978-981-16-0479-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics