Skip to main content

Partition Based Hierarchical Index for Text Retrieval

  • Conference paper
Advances in Web-Age Information Management (WAIM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2762))

Included in the following conference series:

Abstract

Along with single word query, phrase query is frequently used in digital library. This paper proposes a new partition based hierarchical index structure for efficient phrase query and a parallel algorithm based on the index structure. In this scheme, a document is divided into several elements. The elements are distributed on several processors. In each processor, a hierarchical inverted index is built, by which single word and phrase queries can be answered efficiently. This index structure and the partition make the postings lists shorter. At the same time, integer compression technique is used more efficiently. Experiments and analysis show that query evaluation time is significantly reduced.

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 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. Zobel, J., Moffat, A., Ramamohanarao, K.: Inverted files versus signature files for text indexing. ACM Transactions on Database Systems (1998)

    Google Scholar 

  2. Harman, D., Fox, E., Baeza-Yates, R., Lee, W.: Inverted files. In: Frakes, W., Baeza- Yates, R. (eds.) Information Retrieval: Data Structure and Algorithms. ch. 3, pp. 28–43. Prentice-Hall, Englewood Cliffs (1992)

    Google Scholar 

  3. Paynter, G.W., Witten, I.H., Cunningham, S.J., Buchanan, G.: Scalable browsing for large collections: A case study. In: Proc. of the 5th ACM International Conference on Digital Libraries, San Antonio, pp. 215–223 (2000)

    Google Scholar 

  4. Hugh, E., Williams, H.E., Zobel, J.: Compressing Integers for Fast File Access. The computer Journal 42(3) (1999)

    Google Scholar 

  5. Navarro, G., de Moura, E.S., Neubert, M., Ziviani, N., Baeza-Yates, R.: Adding Compression to Block Addressing Inverted Indexes. Kluwer Academic publishs, Dordrecht (2000)

    Google Scholar 

  6. Moffat, A., Zobel, J.: Self Indexing Inverted Files for Fast Text Retrieval. ACM Transactions on Information Systems 14(4), 349–379 (1996)

    Article  Google Scholar 

  7. Scholer, F., Williams, H.E., Yiannis, J., Zobel, J.: Compression of Inverted Indexes for Fast Query Evaluation. In: Annual ACM Conference on Research and Development in Information Retrieval (2002)

    Google Scholar 

  8. Ribeiro-Neto, B., Moura, E.S., Neubert, M.S., Ziviani, N.: Efficient Distributed Algorithms to Build Inverted Files. In: Annual ACM Conference on Research and Development in Information Retrieval (1999)

    Google Scholar 

  9. Williams, H.E., Zobel, J., Anderson, P.: What’s Next? Index Structures for Efficient Phrase Querying. In: Proceedings of the Tenth Australasian Database Conference (1999)

    Google Scholar 

  10. Bahle, D., Williams, H.E., Zobel, J.: Optimized Phrase Querying and Browsing of Large Text Databases. In: Proc. Of Australasian Computer Science Conference (2001)

    Google Scholar 

  11. Bahle, D., Williams, H.E., Zobel, J.: Compaction Techniques for Nextword Indexes. In: Proc. 8th International Symposium on String Processing and Information Retrieval (SPIRE2001), San Rafael, Chile, pp. 33–45 (2001)

    Google Scholar 

  12. Bahle, D., Williams, H.E., Zobel, J.: Efficient Phrase Querying with an Auxiliary Index. In: Annual ACM Conference on Research and Development in Information Retrieval (2002)

    Google Scholar 

  13. Zobel, J., Moffat, A.: Exploring the similarity space. SIGIR Forum 32(1), 18–34 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, Y., Liu, B., Zhang, Z. (2003). Partition Based Hierarchical Index for Text Retrieval. In: Dong, G., Tang, C., Wang, W. (eds) Advances in Web-Age Information Management. WAIM 2003. Lecture Notes in Computer Science, vol 2762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45160-0_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45160-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40715-7

  • Online ISBN: 978-3-540-45160-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics