Skip to main content

A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries

  • Conference paper
Book cover Visioning and Engineering the Knowledge Society. A Web Science Perspective (WSKS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5736))

Included in the following conference series:

Abstract

The research and scholarly community of users in a digital library presents several characteristics that make necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system prototype that applies two approaches to recommendations in order to provide users valuable information about resources and researchers pertaining to domains that completely (or partially) fit that of interest of the user. As an outlook, we briefly enumerate its main features and elements, and present an operational example, which illustrates the overall system performance. Additionally, the outcomes of a simple evaluation of the prototype are shown.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Angehrn, A.A., Maxwell, K., Luccini, A.M., Rajola, F.: Designing collaborative learning and innovation systems for education professionals. In: Lytras, M.D., Carroll, J.M., Damiani, E., Tennyson, R.D. (eds.) WSKS 2008. LNCS (LNAI), vol. 5288, pp. 167–176. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Beckett, D. (ed.): RDF/XML Syntax Specification (2004), http://www.w3.org/TR/rdf-syntax-grammar/

  3. Beged-Dov, G., Bricley, D., Dornfest, R., Davis, I., Dodds, L., Eisenzopf, J., Galbraith, D., Guha, R.V., MacLeod, M., Miller, E., Swartz, A., van der Vlist, E. (eds.): RDF Site Summary (RSS) 1.0 (2001), http://web.resource.org/rss/1.0/spec

  4. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. The Scientific American (May 2001), http://www.sciam.com/article.cfm?id=the-semantic-web

  5. Borgman, C.L.: Scholarship in the digital age: Information, infrastructure, and the Internet. MIT Press, Cambridge (2007)

    Google Scholar 

  6. Cao, Y., Li, Y.: An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Systems with Applications 33(1), 230–240 (2007)

    Article  Google Scholar 

  7. Cleverdon, C.W., Mills, J., Keen, E.M.: Factors Determining the Performance of Indexing Systems, Test Results, vol. 2. ASLIB Cranfield Project (1966)

    Google Scholar 

  8. E-LIS: Homepage (2009), http://eprints.rclis.org/

  9. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43(5-6), 907–928 (1995)

    Article  Google Scholar 

  10. Guarino, N.: Formal ontology and information systems. In: Guarino, N. (ed.) Formal Ontology in Information Systems, pp. 3–17. IOS Press, Amsterdam (1998)

    Google Scholar 

  11. Hendler, J.: Agents and the Semantic Web. IEEE Intelligent Systems, 30–37 (March-April 2001)

    Google Scholar 

  12. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: Direct Approach Processes in Group Decision Making using Linguistic OWA operators. Fuzzy Sets and Systems 79(2), 175–190 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  13. Herrera, F., Martinez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems 8(6), 746–752 (2000)

    Article  Google Scholar 

  14. Herrera-Viedma, E., Peis, E., Morales-del-Castillo, J.M., Anaya, K.: Improvement of Web-based service Information Systems using Fuzzy linguistic techniques and Semantic Web technologies. In: Liu, J., Ruan, D., Zhang, G. (eds.) E-Service intelligence: methodologies, technologies and applications, pp. 647–666. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. McGuinness, D.L., van Harmelen, F. (eds.): OWL Web Ontology Language Overview (2004), http://www.w3.org/TR/2004/REC-owl-features-20040210/

  16. Oldakowsky, R., Byzer, C.: SemMF: A framework for calculating semantic similarity of objects represented as RDF graphs (2005), http://www.corporate-semantic-web.de/pub/SemMF_ISWC2005.pdf

  17. Palmer, C.L., Teffeau, L.C., Pirmann, C.M.: Scholarly information practices in the online environment: Themes from the literature and implications for library service development. Report commissioned by OCLC Research (2009), http://www.oclc.org/programs/publications/reports/2009-02.pdf

  18. Popescul, A., Ungar, L.H., Pennock, D.M., Lawrence, S.: Probabilistic models for unified-collaborative and content-based recommendation in sparse-data environments. In: Breese, J.S., Koller, D. (eds.) Proc. of the 17th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 437–444. Morgan Kaufmann, San Francisco (2001)

    Google Scholar 

  19. Salton, G.: The Smart retrieval system–experiments. In: Salton, G. (ed.) Automatic document processing. Prentice-Hall, Englewood Cliffs (1971)

    Google Scholar 

  20. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of recommendation algorithms for e-commerce. In: Jhingran, A., Mason, J.M., Tygar, D. (eds.) Proc. of ACM E-Commerce 2000 conference, pp. 158–167. ACM, New York (2000)

    Google Scholar 

  21. Schein, A.I., Popescul, A., Ungar, L.H.: Methods and metrics for cold-start recommendations. In: Jarvelin, K., Beaulieu, M., Baeza-Yates, R., Myaeng, S.H. (eds.) Proc. of the 25’th Annual International ACM SIGIR Conference on Research and Developmentin Information Retrieval (SIGIR 2002), pp. 253–260. ACM Press, New York (2002)

    Chapter  Google Scholar 

  22. van Rijsbergen, C.J.: Information Retrieval. Butterworths (1979)

    Google Scholar 

  23. Yager, R.R.: Centered OWA operators. Soft Computing 11(7), 632–639 (2007)

    Article  MATH  Google Scholar 

  24. Zadeh, L.A.: The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences 8(1), 199–249; 8(2) 301–357; 9(3) 43–80 (1975)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Morales-del-Castillo, J.M., Peis, E., Herrera-Viedma, E. (2009). A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries. In: Lytras, M.D., et al. Visioning and Engineering the Knowledge Society. A Web Science Perspective. WSKS 2009. Lecture Notes in Computer Science(), vol 5736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04754-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04754-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04753-4

  • Online ISBN: 978-3-642-04754-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics