Skip to main content

Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries

  • Conference paper
  • First Online:
Book cover Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Abstract

Currently the great advances in Web technologies are changing the process of access to information and the Web is one of the most important source of information. Furthermore, the Web influences the development of others media, for example, newspapers, journals, books, libraries, etc. In this paper we analyze its impact in the development of the university digital libraries. As well as on the Web, the information growth is a big problem for academic digital libraries, and similar tools can be applied in university digital libraries to provide users with access to the information. Given the importance of this aspect, in this paper we analyze and review different proposals that improve the processes of dissemination of information in these university digital libraries, promoting access to information of interest. These proposals manage to adapt access to information according to the needs and preferences of each user. As we can see in the literature, one of the techniques with the best results, is the application of recommender systems. Recommender systems are tools whose objective is to evaluate and filter the large amount of information available on the Web to assist users in their process of access to information. Thus, in this paper we analyze some proposals based on recommender system to help students, teachers and researchers to find research resources that can improve the services provided by the university digital libraries.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.amazon.es/.

  2. 2.

    www.youtube.com/.

  3. 3.

    www.netflix.com/.

  4. 4.

    www.tripadvisor.es/.

  5. 5.

    www.imdb.com/.

References

  1. Alonso, S., Cabrerizo, F., Chiclana, F., Herrera, F., Herrera-Viedma, E.: Group decision-making with incomplete fuzzy linguistic preference relations. Int. J. Intell. Syst. 24(2), 201–222 (2009)

    Article  MATH  Google Scholar 

  2. Alonso, S., Chiclana, F., Herrera, F., Herrera-Viedma, E., Alcalá-Fdez, J., Porcel, C.: A consistency-based procedure to estimating missing pairwise preference values. Int. J. Intell. Syst. 23, 155–175 (2008)

    Article  MATH  Google Scholar 

  3. Burke, R.: Hybrid web recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web, LNCS, vol. 4321, pp. 377–408 (2007)

    Google Scholar 

  4. Burke, R., Felfernig, A., Göker, M.: Recommender systems: an overview. AI Mag. 32, 13–18 (2011)

    Article  Google Scholar 

  5. Cabrerizo, F.J., Morente-Molinera, J.A., Pérez, I.J., López-Gijón, J., Herrera-Viedma, E.: A decision support system to develop a quality management in academic digital libraries. Inf. Sci. 323, 48–58 (2015)

    Article  MathSciNet  Google Scholar 

  6. Callan, J., Smeaton, A.: Personalization and recommender systems in digital libraries. In: Joint NSF-EU DELOS Working Group Report (2003)

    Google Scholar 

  7. Chao, H.: Assessing the quality of academic libraries on the web: the development and testing of criteria. Libr. Inf. Sci. Res. 24, 169–194 (2002)

    Article  Google Scholar 

  8. Charlotte-Ahrens, S.: Recommender Systems: Relevance in the Consumer Purchasing Process. Epubli, Berlin (2011)

    Google Scholar 

  9. Gonçalves, M.A., Fox, E., Watson, L., Kipp, N.: Streams, structures, spaces, scenarios, societies (5s): a formal model for digital libraries. ACM Trans. Inf. Syst. 22(2), 270–312 (2004)

    Article  Google Scholar 

  10. Herrera, F., Martínez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)

    Article  Google Scholar 

  11. Herrera, F., Martínez, L.: A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in multiexpert decision-making. IEEE Trans. Syst. Man Cybern. Part B Cybern. 31(2), 227–234 (2001)

    Article  Google Scholar 

  12. Kobayashi, M., Takeda, K.: Information retrieval on the web. ACM Comput. Surv. 32(2), 148–173 (2000)

    Article  Google Scholar 

  13. Korfhage, R.: Information Storage and Retrieval. Wiley Computer Publishing, New York (1997)

    Google Scholar 

  14. Marchionini, G.: Research and development in digital libraries (2000). http://ils.unc.edu/~march/digital_library_R_and_D.html

  15. Martínez, L., Pérez, L., Barranco, M., Espinilla, M.: Improving the effectiveness of knowledge based recommender systems using incomplete linguistic preference relations. Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 16(2), 33–56 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  16. Mata, F., Martínez, L., Herrera-Viedma, E.: An adaptive consensus support model for group decision making problems in a multi-granular fuzzy linguistic context. IEEE Trans. Fuzzy Syst. 17(2), 279–290 (2009)

    Article  Google Scholar 

  17. Meghabghab, G., Kandel, A.: Search Engines, Link Analysis, and User’s Web Behavior. Springer, Heidelberg (2008)

    Book  MATH  Google Scholar 

  18. Montoya, R.: Boundary objects/boundary staff: Supporting digital scholarship in academic libraries. J. Acad. Librarianship (2017, in press)

    Google Scholar 

  19. Morente-Molinera, J., Pérez, I., Ureña, R., Herrera-Viedma, E.: On multi-granular fuzzy linguistic modelling in group decision making problems: a systematic review and future trends. Knowl. Based Syst. 74, 49–60 (2015)

    Article  MATH  Google Scholar 

  20. Porcel, C., Morales-del Castillo, J., Cobo, M., Ruíz, A., Herrera-Viedma, E.: An improved recommender system to avoid the persistent information overload in a university digital library. Control Cybern.-ICAE J. Spec. Issue 39(4), 899–924 (2010)

    MATH  Google Scholar 

  21. Porcel, C., Herrera-Viedma, E.: Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries. Knowl.-Based Syst. 23, 32–39 (2010)

    Article  Google Scholar 

  22. Porcel, C., Moreno, J., Herrera-Viedma, E.: A multi-disciplinar recommender system to advice research resources in university digital libraries. Expert Syst. Appl. 36(10), 12520–12528 (2009)

    Article  Google Scholar 

  23. Ross, L., Sennyey, P.: The library is dead, long live the library! The practice of academic librarianship and the digital revolution. J. Acad. Librarianship 34(2), 145–152 (2008)

    Article  Google Scholar 

  24. Serrano-Guerrero, J., Herrera-Viedma, E., Olivas, J., Cerezo, A., Romero, F.: A google wave-based fuzzy recommender system to disseminate information in university digital libraries 2.0. Inf. Sci. 181, 1503–1516 (2011)

    Article  Google Scholar 

  25. Shannon, A., Orozova, D., Sotirova, E., Atanassov, K., Melo-Pinto, P., Kim, T.: Generalized net model of a university electronic library, using intuitionistic fuzzy estimations. In: Proceedings of the Eight International Conference on Intuitionistic Fuzzy Sets, vol. 10, pp. 91–96 (2004)

    Google Scholar 

  26. Shannon, A., Rieçan, B., Sotirova, E., Inovska, G., Atanassov, K., Krawczak, M., Melo-Pinto, P., Kim, T.: A generalized net model of university subjects rating with intuitionistic fuzzy estimations. Notes on Intuitionistic Fuzzy Sets 18, 61–67 (2012)

    Google Scholar 

  27. Tejeda-Lorente, A., Porcel, C., Bernabé-Moreno, J., Herrera-Viedma, E.: Refore: a recommender system for researchers based on bibliometrics. Appl. Soft Comput. 30, 778–791 (2015)

    Article  Google Scholar 

  28. Tejeda-Lorente, A., Porcel, C., Peis, E., Sanz, R., Herrera-Viedma, E.: A quality based recommender system to disseminate information in a university digital library. Inf. Sci. 261, 52–69 (2014)

    Article  Google Scholar 

  29. Zadeh, L.: The concept of a linguistic variable and its applications to approximate reasoning. Part I, Inf. Sci. 8, 199–249 (1975), Part II, Inf. Sci. 8, 301–357 (1975), Part III. Inf. Sci. 9, 43–80 (1975)

    Google Scholar 

Download references

Acknowledgments

This paper has been developed with the financing of Projects TIN2013-40658-P and TIN2016-75850-R.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carlos Porcel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Porcel, C., Ching-López, A., Tejeda-Lorente, A., Bernabé-Moreno, J., Herrera-Viedma, E. (2018). Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66827-7_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66826-0

  • Online ISBN: 978-3-319-66827-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics