S3: Similarity Search in CAD Database Systems.

Stefan Berchtold, Hans-Peter Kriegel: S3: Similarity Search in CAD Database Systems. SIGMOD Conference 1997: 564-567

@inproceedings{DBLP:conf/sigmod/BerchtoldK97,
  author    = {Stefan Berchtold and
               Hans-Peter Kriegel},
  editor    = {Joan Peckham},
  title     = {S3: Similarity Search in CAD Database Systems},
  booktitle = {SIGMOD 1997, Proceedings ACM SIGMOD International Conference
               on Management of Data, May 13-15, 1997, Tucson, Arizona, USA},
  publisher = {ACM Press},
  year      = {1997},
  pages     = {564-567},
  ee        = {http://doi.acm.org/10.1145/253260.253407, db/conf/sigmod/BerchtoldK97.html},
  crossref  = {DBLP:conf/sigmod/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

S3 is the prototype of a database system supporting the management and similarity retrieval of industrial CAD parts. The major goal of the system is to reduce the cost for developing and producing new parts by maximizing the reuse of existing parts. S3 supports the following three types of similarity queries: query by example (of an existing part in the database), query by sketch and thematic similarity query. S3 is an object-oriented system offering an adequate graphical user interface. On top of providing various state-of-the-art algorithms and index structures for geometry-based similarity retrieval, it is an excellent testbed for developing and testing new similarity algorithms and index structures.

Copyright © 1997 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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BibTeX

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Joan Peckham (Ed.): SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, May 13-15, 1997, Tucson, Arizona, USA. ACM Press 1997 BibTeX , SIGMOD Record 26(2), June 1997
Contents

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References

[BBB+96]: Stefan Berchtold, Christian Böhm, Bernhard Braunmüller, Daniel A. Keim, Hans-Peter Kriegel: Fast Parallel Similarity Search in Multimedia Databases. SIGMOD Conference 1997: 1-12 BibTeX
[BKK96]: Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: The X-tree : An Index Structure for High-Dimensional Data. VLDB 1996: 28-39 BibTeX
[BKK97]: Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: Using Extended Feature Objects for Partial Similarity Retrieval. VLDB J. 6(4): 333-348(1997) BibTeX
[BKK97a]: Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel: Section Coding: Ein Verfahren zur Ähnlichkeitssuche in CAD-Datenbanken. BTW 1997: 152-171 BibTeX
[BKSS90]: Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider, Bernhard Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles. SIGMOD Conference 1990: 322-331 BibTeX
[BMH92]: ...
[MG93]: Rajiv Mehrotra, James E. Gary: Feature-Based Retrieval of Similar Shapes. ICDE 1993: 108-115 BibTeX

Referenced by

Christian Böhm, Hans-Peter Kriegel: Dynamically Optimizing High-Dimensional Index Structures. EDBT 2000: 36-50
Gunter Saake, Andreas Heuer: Datenbanken: Implementierungstechniken. MITP-Verlag 1999, ISBN 3-8266-0513-6
Contents
Mihael Ankerst, Bernhard Braunmüller, Hans-Peter Kriegel, Thomas Seidl: Improving Adaptable Similarity Query Processing by Using Approximations. VLDB 1998: 206-217
Thomas Seidl, Hans-Peter Kriegel: Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference 1998: 154-165
Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel: Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations. EDBT 1998: 216-230
Thomas Seidl, Hans-Peter Kriegel: Efficient User-Adaptable Similarity Search in Large Multimedia Databases. VLDB 1997: 506-515

BibTeX

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