Information retrieval method with efficient similarity...

Details Information retrieval method with efficient similarity... Information retrieval method with efficient similarity...

2004-11-01

2010-06-08

Mahmoudi, Tony (Department: 2169)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000, C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

07734566

ABSTRACT:
Embodiments of the present invention include methods for retrieving information from an information base. In one embodiment, the present invention includes specifying a first query including one or more specified attribute values corresponding to one or more attributes, performing a count-only query on a structured information base for information elements having one or more attribute values within a first range, the first range including the specified attribute values, and performing a retrieval query for information elements having one or more attribute values within a second range, wherein the second range includes the first range.

REFERENCES:
patent: 6633882 (2003-10-01), Fayyad et al.
patent: 2004/0002973 (2004-01-01), Chaudhuri et al.
Schumacher et al., “An Efficient Approach to Similarity-Based Retrieval on Top of Relational Databases”, 2000, University of Kiaserslautern, Germany.
Aamodt et al., “Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches”, AI Communications, 1994, vol. 7.
Ralph Bergmann, “Experience Management: Foundations, Development Methodology, and Internet-Based Applications”, 2002, pp. 93-139, Springer, Germany.

Affiliated with

Also associated with

Rating

Information retrieval method with efficient similarity... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Information retrieval method with efficient similarity..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information retrieval method with efficient similarity... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4237965