Query preprocessing and pipelining

Details Query preprocessing and pipelining Query preprocessing and pipelining

2004-01-26

2008-12-30

Lee, Wilson (Department: 2163)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000

Reexamination Certificate

active

07472113

ABSTRACT:
Front end preprocessing modifies queries to get them in better form for presentation to a variety of data sources. The queries are modified by grouping terms as phrases, correcting spelling errors, and augmenting the query with category terms that trigger query execution on certain data sources. Context information about a particular user as well as information about previous queries by other uses are also used to modify the query to better reflect the user's intent.

REFERENCES:
patent: 6405190 (2002-06-01), Conklin
patent: 6460029 (2002-10-01), Fries et al.
patent: 6526440 (2003-02-01), Bharat
patent: 6529903 (2003-03-01), Smith et al.
patent: 6615209 (2003-09-01), Gomes et al.
patent: 6658423 (2003-12-01), Pugh et al.
patent: 6678681 (2004-01-01), Brin
patent: 2002/0123988 (2002-09-01), Dean et al.
patent: 2002/0133481 (2002-09-01), Smith et al.
patent: 2005/0004889 (2005-01-01), Bailey et al.
patent: 2006/0075120 (2006-04-01), Smit
patent: 2006/0122979 (2006-06-01), Kapur et al.
S. Brin and L. Page.The Anatomy of a Large-Scale Hypertextual Web Search Engine. Aug. 7, 2000. http://www7.scu.edu.au/programme/fullpapers/1921/com1921.htm.
D. Bahle, H. Williams and J. Zobel.Optimised Phrase Querying and Browsing of Large Text Database. 2001 IEEE. pp. 11-19.
J. Zobel and A. Moffat.Inverted Files Versus Signature Files for Text Indexing. 1999 ACM. pp. 453-490.
D. Bahle, H. Williams and J. Zobel.Efficient Phrase Querying with an Auxiliary Index. 2002 ACM. pp. 215-221.
D. Dreilinger and A. Howe.Experiences with Selecting Search Engines Using Metasearch. 1997 ACM. pp. 195-222.
N. Fuhr.Two Models of Retrieval with Probabilistic Indexing. 1986 ACM. p. 249.
S. Bradshaw and K. Hammond.Automatically Indexing Documents: Content vs. Reference. 2002 ACM. pp. 180-181.
A. Keller and J. Basu.A predicate-based caching scheme for client-server database architectures. The VLDB Journal 1996. pp. 35-47.
J. French, A. Powell, F. Gey and N. Perelman.Exploiting a Controlled Vocabulary to Improve Collection Selection and Retrieval Effectiveness. 2001 ACM. pp. 199-206.
K. Lee, H. Leong and A. Si.Semantic Query Caching in a Mobile Environment. Mobile Computing and Communications Review, vol. 3, No. 2. Date unknown but prior to Dec. 30, 2003, pp. 28-36.
M. Rodriguez-Martinez and N. Roussopoulos.MOCHA: A Self-Extensible Database Middleware System for Distributing Data Sources. 2000 ACM. pp. 213-224.
K. Jarvelin, J. Kristensen, T. Niemi, E. Sormunen and H. Keskustalo.A Deductive Data Model for Query Expansion. 1996 ACM. pp. 235-243.
R. Goldman and J. Widom.WSQ/DSQ: A Practical Approach for Combined Querying of Databases and the Web. 2000 ACM. pp. 285-295.

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