Skip to main content
SpringerLink
Log in

An OAI-Based Filtering Service for CITIDEL from NDLTD

  • Conference paper
Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access (ICADL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2911))

Included in the following conference series:

Abstract

One goal of the Computing and Information Technology Interactive Digital Educational Library (CITIDEL) is to maximize the number of computing-related resources available to computer science scholars and practitioners through it. In this paper, we describe a set of experiments designed to help this goal by adding to CITIDEL a sub-collection of computing related electronic theses and dissertations (ETDs) automatically extracted from the Networked Digital Library of Theses and Dissertations (NDLTD) OAI Union Catalog. We analyze the metadata quality of the NDLTD OAI Union Catalog and describe three different experiments that combine different sources of evidence to improve the accuracy in filtering out the computing related entries.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Fox, E.A.: Computing and Information Technology Interactive Digital Educational Library (CITIDEL). Homepage (2002), http://www.citidel.org/

  2. Fox, E.A.: Networked Digital Library of Theses and Dissertations. Nature Web Matters (1999), http://helix.nature.com/webmatters/library/library.html

  3. Fox, E.A.: Networked Digital Library of Theses and Dissertations (NDLTD). Homepage (1999), http://www.ndltd.org

  4. Suleman, H., Atkins A., Gonçalves, M.A., France, R.K., Fox, E.A., Virginia Tech; Chachra V., Crowder M., VTLS, Inc.; and Young, J., OCLC: Networked Digital Library of Theses and Dissertations: Bridging the Gaps for Global Access - Part 1: Mission and Progress. D-Lib Magazine 7(9) (2001)

    Google Scholar 

  5. Suleman, H., Luo, M.: Electronic Thesis/Dissertation OAI Union Catalog. Homepage (2002), http://rocky.dlib.vt.edu/~etdunion/cgi-bin/index.pl

  6. Van de Sompel, H.: Open Archives Initiative. WWW site. Cornell University, Ithaca (2000), http://www.openarchives.org

  7. DCMI: Dublin Core Metadata Element Set, Version 1.1: Reference Description, Available from http://www.dublincore.org/documents/dces/

  8. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (2000)

    Google Scholar 

  9. Paynter, G.: Attribute-Relation File Format (ARFF). WWW site, http://www.cs.waikato.ac.nz/~ml/weka/arff.html

  10. Platt, J.: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In: Schölkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge (1998)

    Google Scholar 

  11. Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137–142. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  12. Dumais, S.T., Platt, J., Heckerman, D., Sahami, M.: Inductive learning algorithms and representations for text categorization. In: Proceedings of CIKM 1998, 7th ACM International Conference on Information and Knowledge Management, Bethesda, MD, pp. 148–155 (1998)

    Google Scholar 

  13. Joachims, T.: A statistical learning model of text classification for support vector machines. In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, New Orleans, Louisiana, pp. 128–136 (2001)

    Google Scholar 

  14. Dumais, S., Chen, H.: Hierarchical classification of Web content. In: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, Athens, Greece, pp. 256–263 (2000)

    Google Scholar 

  15. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys (CSUR) 34(1), 1–47 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Digital Library Research Laboratory, Virginia Tech, Blacksburg, VA, 24061, USA

    Baoping Zhang, Marcos André Gonçalves & Edward A. Fox

Authors
  1. Baoping Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcos André Gonçalves
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edward A. Fox
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Information Science, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, UKM Selangor, Malaysia

    Tengku Mohd Tengku Sembok

  2. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  3. Department of Management Information Systems, Eller College of Management, The University of Arizona, AZ 85721, USA

    Hsinchun Chen

  4. International School of Information Management, University of Mysore, Mysore, India

    Shalini R. Urs

  5. School of Engineering, Information and Communications University, 119, Munjiro, Yuseong-gu, 305-732, Daejeon, Korea

    Sung-Hyon Myaeng

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, B., Gonçalves, M.A., Fox, E.A. (2003). An OAI-Based Filtering Service for CITIDEL from NDLTD. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, SH. (eds) Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access. ICADL 2003. Lecture Notes in Computer Science, vol 2911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24594-0_61

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24594-0_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20608-8

  • Online ISBN: 978-3-540-24594-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation