Data processing: database and file management or data structures – Database design – Data structure types
Patent
1997-11-26
1999-09-28
Black, Thomas G.
Data processing: database and file management or data structures
Database design
Data structure types
707 10, 706 59, 706 47, G06F 1730
Patent
active
059604220
ABSTRACT:
In an information retrieval system, an automated system optimizes selection of sources in a distributed information system for query searching. A training set of documents is created for each source by randomly selecting significant portions of the documents thereof. A test set documents is created for each source from the documents not included in the training set. Each document in the training and test set is defined in terms of features/attributes and a name as samples representing individual sources. Pattern recognizing means process the samples to recognize patterns in the documents to distinguish one source from another source. Rule generating means provide a set of DNF rules from the patterns as a model representing each source. The test set of documents is expressed in terms of DNF rules. Evaluating means create a final classification model after minimizing any error between the DNF rules for the training and test sets. Query means enable a user to express a query in terms of features/attributes and DNF rules which when applied to the final model automatically select the optimal sources for query searching. The sources may also be expressed in taxonomic groupings which reduces the number of data sources and speeds query searching on a distributive information network by a user.
REFERENCES:
patent: 4774655 (1988-09-01), Kollin et al.
patent: 5077694 (1991-12-01), Sansone et al.
patent: 5584024 (1996-12-01), Shwartz
patent: 5664171 (1997-09-01), Agrawal et al.
patent: 5812996 (1998-09-01), Rubin et al.
patent: 5864841 (1999-01-01), Agrawal et al.
patent: 5864846 (1999-01-01), Voorhees et al.
"An Intelligent Database Assistant" by G. Jakobson et al., IEEE Expert (USA), vol. 1, No. 2, pp. 65-79, Summer 1986.
"Database Selector for Network Use: A Feasibility Study"; Proceedings of the ASIS Annual Meeting, 1977, vol. 14, "Information Management in the 1980's", Chicago, IL, USA, Sep. 26-Oct. 1977 by Martha Williams, et al.
"The Selection of On-Line Databases for U.K. Co. Information"; Journal of Librarian Information Science, vol. 27, No. 3, pp. 159-170, Sep. 1995, by G. Tseng et al.
"Adaptive User Models for Intelligent Information Filtering"; Intelligent Systems, Proceedings of 3rd Golden West International Conference; Las Vegas, Nev., Jun. 6-8, 1994 by K. J. Mock et al.
"Internet Categorization in Search: A Self-Organizing Approach"; Journal of Visual Communications Image Represent.(USA), vol. 7, No. 1, Academic Press, pp.88-102, Mar. 1996, by C. Hsinchun et al.
Dasarathy, Minimal Consistent Set Identification for Optimal Nearest Neighbor Decision Systems Design, IEEE Transactions on Systems, MAN, and Cybernetics, vol. 24, No. 3, pp. 511-517, Mar. 1994.
Gurajada et al, Equidepth of a Date set Based on Finding its Median, IEEE Procedings of the 1991 Symposium, pp. 92-101, Apr. 1991.
Black Thomas G.
Coby Frantz
International Business Machines - Corporation
LandOfFree
System and method for optimized source selection in an informati does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for optimized source selection in an informati, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for optimized source selection in an informati will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-716045