ACM SIGMOD Anthology SIGIR dblp.uni-trier.de

S-Tree: A Dynamic Balanced Signature Index for Office Retrieval.

Uwe Deppisch: S-Tree: A Dynamic Balanced Signature Index for Office Retrieval. SIGIR 1986: 77-87
@inproceedings{DBLP:conf/sigir/Deppisch86,
  author    = {Uwe Deppisch},
  title     = {S-Tree: A Dynamic Balanced Signature Index for Office Retrieval},
  booktitle = {SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval,
                Pisa, Italy, September 8-10, 1986},
  publisher = {ACM},
  year      = {1986},
  pages     = {77-87},
  ee        = {db/conf/sigir/Deppisch86.html},
  crossref  = {DBLP:conf/sigir/86},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

The signature approach is an access method for partial-match retrieval which meets many requirements of an office environment. Signatures are hash coded binary words derived from objects stored in the data base. They serve as a filter for retrieval in order to discard a large number of nonqualifying objects. In an indexed signature method the signatures of objects stored on a single page are used to form a signature for that page. In this paper we describe a new technique of indexed signatures which combines the dynamic balancing of B-trees with the signature approach. The main problem of appropriate splitting is solved in a heuristic way. Operations are described and a simple performance analysis is given. The analysis and some experimental results indicate a considerable performance gain. Moreover, the new S-tree approach supports a clustering on a signature basis. Further remarks on adaptability complete this work.

Copyright © 1986 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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SIGIR'86, Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Pisa, Italy, September 8-10, 1986. ACM 1986
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Referenced by

  1. Jochen Van den Bercken, Martin Schneider, Bernhard Seeger: Plug&Join: An easy-to-use Generic Algorithm for Efficiently Processing Equi and Non-Equi Joins. EDBT 2000: 495-509
  2. Yuping Yang, Mukesh Singhal: Accessing Data Cubes along Complex Dimensions. DOLAP 1999: 73-78
  3. Byoung Mo Im, Myoung-Ho Kim, Jae Soo Yoo: MIN-Entropy: A New Signature File Declustering Algorithm for Intra-Query Parallelism. DASFAA 1997: 235-242
  4. Dimitrios Dervos, P. Linardis, Yannis Manolopoulos: S-Index: a Hybrid Structure for Text Retrieval. ADBIS 1997: 204-209
  5. Paolo Ciaccia, Paolo Tiberio, Pavel Zezula: Declustering of Key-Based Partitioned Signature Files. ACM Trans. Database Syst. 21(3): 295-338(1996)
  6. Dik Lun Lee, Young Man Kim, Gaurav Patel: Efficient Signature File Methods for Text Retrieval. IEEE Trans. Knowl. Data Eng. 7(3): 423-435(1995)
  7. Jeong-Ki Kim, Jae-Woo Chang: A New Parallel Signature File Method for Efficient Information Retrieval. CIKM 1995: 66-73
  8. Chun-Wu Roger Leng, Dik Lun Lee: Optimal Weight Assignment for Signature Generation. ACM Trans. Database Syst. 17(2): 346-373(1992)
  9. Zheng Lin, Christos Faloutsos: Frame-Sliced Signature Files. IEEE Trans. Knowl. Data Eng. 4(3): 281-289(1992)
  10. Dik Lun Lee, Chun-Wu Roger Leng: A Partitioned Signature File Structure for Multiattribute and Text Retrieval. ICDE 1990: 389-397
  11. Walter W. Chang, Hans-Jörg Schek: A Signature Access Method for the Starburst Database System. VLDB 1989: 145-153
  12. Elisa Bertino, Fausto Rabitti, Costantino Thanos: MULTOS: a Document Server for Distributed Office Systems. EDBT 1988: 606-615
  13. H.-Bernhard Paul, Hans-Jörg Schek, Marc H. Scholl, Gerhard Weikum, Uwe Deppisch: Architecture and Implementation of the Darmstadt Database Kernel System. SIGMOD Conference 1987: 196-207
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